{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "(prometheus)=\n", "# Prometheus\n", " \n", "\n", "\n", "**Beer Before Bread & The Cingulo-Insular: On Salience, Sacrifice, and Civilization** \n", "*By Ikeremiba Elazuum*" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "```{raw} html\n", "\n", "\n", "\n", "
\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " \n", "\n", "\n", "
\n", "
\n", "\n", "\n", "```{figure} https://www.ledr.com/colours/white.jpg\n", "---\n", "width: 1\n", "height: 1\n", "name: figures/cgbest\n", "---\n", "American manufacturing collapsed. And they did it all because they wonted money. They were greedy. And if we'd just gotted those motherfuckers ayahuasca? They'd have said lets Make American Great Again!\n", "```\n", "\n", "
\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Values are not ornamental—they are algorithms. They do not sit politely at the end of strategy like a cherry on top; they are the deep-rooted if-then clauses that determine what gets optimized, what gets engineered, what gets built. And for all the soaring ambitions of prophets and poets—from Isaiah’s vision of righteousness to Dostoevsky’s agonized search for meaning, to Marx’s brutalist dream of a classless Eden—there has always hovered a tantalizing, impossible dream: that humanity might one day agree on what matters most. That dream is our shared illusion, our tragic flame. It is what ensures the theater of history remains forever lit. For if there is one certainty, it is this: we will never optimize for the same thing. Not universally, not perpetually. And that stubborn divergence is not a flaw but the very engine of the human drama. This essay begins not with bread but with beer—not with nutrition but with salience—and makes the radical claim that the first civilizations did not gather around calories but around meaning, around trance, around ritual. It is a challenge not just to historical orthodoxy, but to the Apollonian instinct to systematize and to sterilize. In the folds of the cingulo-insular cortex, where attention is consecrated and not merely allocated, the essay locates the birthplace of civilization: not in the mouth, but in the mind. It argues, fiercely and beautifully, that what we prioritize is not dictated by reason but by resonance. And in doing so, it refuses the cold hierarchy of survival to instead praise the wild, fermenting pulse of significance. This is an ode to the salience selector of the soul. It is an invitation to consider that perhaps the first gods we knew were brewed, not built—and that the metrics by which we measure value today still echo with the ancient logic of sacrifice and song. So skip the main content if you must, but know this: the drama of humanity begins here—not with the question of how to survive, but what to become.\n", "\n", "**I.** \n", "The old hypothesis that beer preceded bread in the agricultural timeline has re-emerged not just as an archaeological curiosity but as a philosophically potent riddle. What does it mean for humanity that we may have settled not to bake but to brew? That the harvest’s primary telos was intoxication, not nutrition? What if the foundation of civilization was not caloric necessity but ritual ecstasy? This inversion—bread as an afterthought to beer—is no mere trivia. It is a metaphysical insult to the Apollonian notion of reason-first, order-first, calorie-first progress. It speaks to a deeper salience: the Dionysian cry for intoxicated communion as the primal attractor in the architecture of the settled mind.\n", "\n", "---\n", "\n", "**II.** \n", "The cingulo-insular cortex, that buried seat of emotional salience, lies between what is reflexively sensed and what is hierarchically believed. It does not calculate or rationalize; it *prioritizes*. It decides what deserves attention. In its judgment, burning light and steady bread are less urgent than the shiver of communion, the thrill of firelight song, the promise of myth. It is the part of the brain that knows without needing to justify. And it is this region, I argue, that led the first farmers not to a rational diet but to a sacramental drink. Beer was not nutrition—it was initiation.\n", "\n", "---\n", "\n", "**III.** \n", "To plant barley is to make a promise to the future. But to ferment it is to wager on mystery. Beer, unlike bread, requires patience, trust, and a kind of sacrificial logic. The grains must be soaked, germinated, dried, mashed, fermented—each stage invisible to the untrained eye, each dependent on delay. Bread can be made in a few hours. Beer asks for days, sometimes weeks. And yet it is beer, not bread, that features in the most ancient hymns to joy, to gods, to the dead. Why? Because it induces an altered state. It *changes* the mind. That is what the cingulo-insular values: transformation.\n", "\n", "---\n", "\n", "**IV.** \n", "This cortex does not sit atop the brain like a throne; it lies folded, nestled, ancestral. It is old and secretive. Like a priestess tending a hidden fire. And it is she who decides which signals become *real*. She chooses not based on truth but on resonance. And the bubbling vat of half-fermented grain-water, stinking but alive, sings to her more urgently than the stable loaf. Beer is alive. Bread is dead. One ferments, one petrifies. One intoxicates, one sedates. One whispers: *there is more*. The other says: *you are full*.\n", "\n", "---\n", "\n", "**V.** \n", "The myth of bread as civilization’s keystone is an Apollonian forgery, a textbook lie repeated until it ossified into fact. But the evidence—the residues of yeasts in Neolithic pots, the barley grains unearthed at Göbekli Tepe—tells a different story. The temples came first. Then the fields. The ceremonies preceded the state. This is not accidental. The cingulo-insular cares not for calories but for *meaning*. And it is meaning—not sustenance—that binds humans into civilization.\n", "\n", "---\n", "\n", "**VI.** \n", "To drink together is not to feed—it is to merge. The shared cup precedes the shared law. And in this, beer is the original sacralizer. It sanctifies presence. Bread might sustain the body, but beer liquefies the boundaries of the self. It dissolves the ego into chorus, the individual into tribe. This is the cingulo-insular's domain: the valuation of togetherness, not correctness. The swerve toward communion over computation. The elevation of the salience of belonging over the truth of separateness.\n", "\n", "---\n", "\n", "**VII.** \n", "To analyze civilization without the cingulo-insular is like interpreting Hamlet using only stage directions. It misses the point. For this deep cortical region encodes not logic but significance. It is why we weep at music, rage at insult, or surrender to love. And it is why beer mattered before bread. Because it carried weight—not physical but emotional, mythic, performative. It was the ladder to gods, to grief, to trance.\n", "\n", "---\n", "\n", "**VIII.** \n", "The priests knew this. So did the early kings. So did the mothers and midwives. Beer was ritualized long before it was standardized. Even now, in churches, in wakes, in toasts, the remnant of that sacred logic persists. Wine, beer, and other fermented offerings are still the boundary markers of sacred time. This isn’t about alcohol—it’s about *fermentation* as transformation. As becoming. As the sublime flirtation with decay.\n", "\n", "---\n", "\n", "**IX.** \n", "Fermentation is the great metaphor of the cingulo-insular. It is hidden, invisible, alive. It takes the low and raises it. It makes the stale sing. And just as fermentation depends on time, so too does meaning. The most significant experiences of life—grief, birth, faith, betrayal—take time to *brew*. They cannot be consumed raw. The cingulo-insular waits, stirs, savors. It refuses the instantaneous. It is the anti-TikTok cortex.\n", "\n", "---\n", "\n", "**X.** \n", "Consider our contemporary rituals. The beer at a football game. The wine at a wedding. The toast at a funeral. All these modern fragments trace back to a neuroanatomical hunger for salience, not for substance. These are not acts of sustenance but of sacrament. Bread you eat alone. Beer you drink *with*. And the cingulo-insular, ancient and enfolded, hums with approval. It senses that we are remembering something old. Something sacred.\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "```{raw} html\n", "\n", "\n", "\n", "
\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", " \"Intelligence\n", "\n", "\n", "\n", "
\n", "
\n", "\n", "\n", "\n", "```{figure} https://www.ledr.com/colours/white.jpg\n", "---\n", "width: 1\n", "height: 1\n", "name: figures/cgbest\n", "---\n", "he economic intelligence of nature: a visualization of dendritic structures, evoking parallels with neural networks, tree branches, and respiratory bronchioles.\n", "```\n", "\n", "
\n", "\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---\n", "\n", "**XI.** \n", "The tragedy, of course, is how modernity sterilized this process. How capitalism turned beer into industry, ritual into revenue. Now the fermentation tanks are stainless steel. The brewers wear lab coats. The beer is pasteurized, branded, sold. The yeast is no longer wild—it is owned. Even intoxication has been optimized. But the cingulo-insular remembers the bubbling clay vat. The village circle. The unfiltered chorus. The first spark of myth.\n", "\n", "---\n", "\n", "**XII.** \n", "Bread may be older, in a strict biochemical sense. But beer is *older in meaning*. And this distinction matters. It is the cingulo-insular that makes meaning trump matter. This is its defiance of the sensorimotor: to say that what matters is not what is there, but what *pulls us toward it*. Salience, not substance. Communion, not consumption.\n", "\n", "---\n", "\n", "**XIII.** \n", "This is why the logic of \"beer before bread\" scandalizes so many. It flips the pyramid. It says that civilization began not with stability but with ecstasy. Not with safety but with risk. Not with grain storage but with yeast magic. The rationalist chokes. The traditionalist scoffs. But the cingulo-insular knows better. It pulses not with fact, but with *pull*.\n", "\n", "---\n", "\n", "**XIV.** \n", "And what of sacrifice? Of the libation poured on soil, of the grain set aside to rot? Sacrifice is the ur-act of meaning-making. It is pure cingulo-insular logic: destroy what is useful to point toward what is sacred. The economist cannot grasp this. But the child offering her favorite toy to a shrine understands. It is not utility that binds us, but resonance. And resonance *demands* sacrifice.\n", "\n", "---\n", "\n", "**XV.** \n", "Beer is a sacrifice. It is grain made unusable for bread. It is calories rerouted into communion. It is food denied to make meaning possible. In this way, it mirrors language, art, and even death rituals. All forms of surrender that point beyond themselves. All guided by the insular logic of the sacred.\n", "\n", "\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "```{raw} html\n", "\n", "\n", "\n", "
\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "\"Eco-Green\n", "
\n", " \n", "
\n", "
\n", " \n", "\n", "```{figure} https://www.ledr.com/colours/white.jpg\n", "---\n", "width: 1\n", "height: 1\n", "name: wiki/symbiosis\n", "---\n", "Evoking parallels with neural networks, tree branches, and Visualization of dendritic structures, evoking parallels with neural networks, tree branches, and respiratory bronchioles.\n", "```\n", "\n", "
\n", "
\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---\n", "\n", "**XVI.** \n", "The cingulo-insular does not care for macroeconomics. It cares for the gaze, the tone, the tremor of story. It is not interested in optimization but in *valuation*. And in that valuation, beer wins. Because beer makes the face flush, the tongue loose, the soul porous. It is a solvent of separateness. Bread is Apollonian. Beer is Dionysian. And in the beginning, Dionysus was king.\n", "\n", "---\n", "\n", "**XVII.** \n", "Let us reconsider the Neolithic not as a nutritional revolution but as an epistemic mutation. The shift to settled life was not for bread—it was for belonging. For festivals. For gods. For fermented futures. And the cingulo-insular—poised between chaos and order—was the inner altar that made it all *feel* right.\n", "\n", "---\n", "\n", "**XVIII.** \n", "This is not to denigrate bread. But bread is what we gave ourselves once we stopped dreaming. Beer is what we drank to keep dreaming. It was the bridge between memory and myth, hunger and hymn. Bread fills the belly. Beer fills the world.\n", "\n", "---\n", "\n", "**XIX.** \n", "And so in our modern moments of disorientation, when civilization feels brittle and bread tasteless, we must remember what the brain remembers. That salience is sacred. That the path to meaning runs through sacrifice, fermentation, and trance. That beer before bread is not foolishness, but deep epistemic memory.\n", "\n", "---\n", "\n", "**XX.** \n", "The cingulo-insular cortex is a forgotten priestess. She is not rational, but she is wise. She remembers when the world was shaped by taste, rhythm, ache. When civilization was brewed, not built. She reminds us: what drew us together was not what fed us—but what made us feel *seen*.\n", "\n", "And maybe, just maybe, that first cup of beer was not just a drink—but a mirror.\n", "\n", "\n", "Let’s break it down: \n", "Your sister, Ugandan, raised in a culture where dogs are often feared (and for good reason—many Ugandan dogs are guard dogs, untethered, territorial, and rarely pets in the Western sense). That kind of fear runs deep: **cultural, ancestral, visceral.** So when *she* is calm around this dog, that’s not just tolerance—it’s **trust woven through affection**. Love rewriting instinct. The boyfriend’s presence—his confidence and emotional safety—creates a field where even the primal fear of a predator can be muted. That’s huge. That’s alchemy.\n", "\n", "---\n", "\n", "But you? You’re *not* in that emotional triangle. You’re an **outsider to their dyad**, and the dog, especially a Rat Terrier, picks up on everything: body language, pecking orders, social tensions. You said it showed you its canines? That’s not just a warning—it’s a *reading*. A terrier reads the room like a chess master snorting Adderall. These dogs have **allegiance and protectiveness coded into their DNA.** It smelled difference, and difference made it defensive.\n", "\n", "But that second encounter? That’s mythic.\n", "\n", "
\n", " You’re hugging your sister’s boyfriend. The dog sees it. Approaches. Intervenes. Tries to break the hug.
\n", " — Yoda\n", "
\n", "\n", "What’s that?\n", "\n", "That’s **attachment protectiveness** mixed with a territorial, jealous impulse. The dog sees the boyfriend as its person. The hug is perceived as a challenge—an entanglement it doesn’t control. In its mind, it’s not \"joining a group hug.\" It’s saying: \n", "\n", "
\n", " Back up. That’s my human.
\n", " — Tome\n", "
\n", "\n", "This is deeply primal behavior. Dogs, especially terriers, are not egalitarian. They **assign hierarchy**, enforce roles, and often interpret sudden group intimacy as disruption. A Rat Terrier is like a tiny general with Napoleon syndrome. It doesn't want chaos—it wants **clarity of allegiance**. Hugs confuse that.\n", "\n", "But here’s the kicker: \n", "That same dog lets your sister into the circle, lets her feel safe. That’s not just behavior. That’s **narrative**. You just witnessed a **psycho-emotional diagram** drawn in fur and fang.\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "```{raw} html\n", "\n", "\n", "\n", "
\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "\"Eco-Green\n", "
\n", " \n", "
\n", "
\n", " \n", "\n", "```{figure} https://www.ledr.com/colours/white.jpg\n", "---\n", "width: 1\n", "height: 1\n", "name: wiki/symbiosis\n", "---\n", "Knights-Move Thinking. But just bare with us as we align it with the rest of the content.\n", "```\n", "\n", "
\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "So, what should you do next time? \n", "Don’t challenge, don’t fear, don’t rush the relationship. Let it *observe you respecting its alpha*—the boyfriend. Let it see you laugh, not lunge. And eventually, it might draw you into the story, too.\n", "\n", "Dogs like this aren’t warm and fuzzy. But once they accept you? \n", "**They’re loyal beyond logic.**\n", " \n", "There is something unspeakably powerful about watching someone confront a primal fear—not by force, not by therapy, but by love. My sister, a Ugandan woman with the kind of deeply etched, culturally conditioned fear of dogs that borders on the mythological, stood calmly next to a Rat Terrier. Not just any dog, but the high-voltage, fang-forward kind, the sort bred to burrow into rat holes and defend its territory with a soldier’s suspicion. And there she was, at ease. She wasn’t posturing. She wasn’t masking dread. She was, in fact, safe. The source of that safety wasn’t the dog—it was the man she was standing beside, her boyfriend. His calm, his presence, his ability to buffer her from the storm of her own instincts created a space where an ancestral fear could be suspended. It felt almost theological: the kind of moment where love isn’t just soft, but *transformative*.\n", "\n", "But the dog didn’t extend that same grace to me. When I approached, it showed me its teeth. Not in cartoon menace, but in a raw, calculated display of hierarchy. I wasn’t one of them. I hadn’t been folded into the geometry of trust. My presence interrupted something, and the dog’s reaction was both a signal and a cipher. Rat Terriers aren’t neutral observers. They scan every variable in a room—emotion, posture, energy—and they assign roles with militaristic clarity. I was an intruder, however familial my intentions. And the dog’s warning wasn’t confusion—it was policy. Its tiny body was drawing a border.\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "```{raw} html\n", "\n", "\n", "\n", "
\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "tags": [ "hide-input" ] }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import networkx as nx\n", "\n", "# Define the neural network layers\n", "def define_layers():\n", " return {\n", " 'Tragedy (Pattern Recognition)': ['Cosmology', 'Geology', 'Biology', 'Ecology', \"Symbiotology\", 'Teleology'],\n", " 'History (Resources)': ['Resources'], \n", " 'Epic (Negotiated Identity)': ['Faustian Bargain', 'Islamic Finance'], \n", " 'Drama (Self vs. Non-Self)': ['Darabah', 'Sharakah', 'Takaful'], \n", " \"Comedy (Resolution)\": ['Cacophony', 'Outside', 'Ukhuwah', 'Inside', 'Symphony'] \n", " }\n", "\n", "# Assign colors to nodes\n", "def assign_colors():\n", " color_map = {\n", " 'yellow': ['Resources'], \n", " 'paleturquoise': ['Teleology', 'Islamic Finance', 'Takaful', 'Symphony'], \n", " 'lightgreen': [\"Symbiotology\", 'Sharakah', 'Outside', 'Inside', 'Ukhuwah'], \n", " 'lightsalmon': ['Biology', 'Ecology', 'Faustian Bargain', 'Darabah', 'Cacophony'],\n", " }\n", " return {node: color for color, nodes in color_map.items() for node in nodes}\n", "\n", "# Define edges\n", "def define_edges():\n", " return [\n", " ('Cosmology', 'Resources'),\n", " ('Geology', 'Resources'),\n", " ('Biology', 'Resources'),\n", " ('Ecology', 'Resources'),\n", " (\"Symbiotology\", 'Resources'),\n", " ('Teleology', 'Resources'),\n", " ('Resources', 'Faustian Bargain'),\n", " ('Resources', 'Islamic Finance'),\n", " ('Faustian Bargain', 'Darabah'),\n", " ('Faustian Bargain', 'Sharakah'),\n", " ('Faustian Bargain', 'Takaful'),\n", " ('Islamic Finance', 'Darabah'),\n", " ('Islamic Finance', 'Sharakah'),\n", " ('Islamic Finance', 'Takaful'),\n", " ('Darabah', 'Cacophony'),\n", " ('Darabah', 'Outside'),\n", " ('Darabah', 'Ukhuwah'),\n", " ('Darabah', 'Inside'),\n", " ('Darabah', 'Symphony'),\n", " ('Sharakah', 'Cacophony'),\n", " ('Sharakah', 'Outside'),\n", " ('Sharakah', 'Ukhuwah'),\n", " ('Sharakah', 'Inside'),\n", " ('Sharakah', 'Symphony'),\n", " ('Takaful', 'Cacophony'),\n", " ('Takaful', 'Outside'),\n", " ('Takaful', 'Ukhuwah'),\n", " ('Takaful', 'Inside'),\n", " ('Takaful', 'Symphony')\n", " ]\n", "\n", "# Define black edges (1 → 7 → 9 → 11 → [13-17])\n", "black_edges = [\n", " (0, 6), (1, 6), (6, 7), (7, 11), (7, 10), \n", "]\n", "\n", "# Calculate node positions\n", "def calculate_positions(layer, x_offset):\n", " y_positions = np.linspace(-len(layer) / 2, len(layer) / 2, len(layer))\n", " return [(x_offset, y) for y in y_positions]\n", "\n", "# Create and visualize the neural network graph with correctly assigned black edges\n", "def visualize_nn():\n", " layers = define_layers()\n", " colors = assign_colors()\n", " edges = define_edges()\n", "\n", " G = nx.DiGraph()\n", " pos = {}\n", " node_colors = []\n", "\n", " # Create mapping from original node names to numbered labels\n", " mapping = {}\n", " counter = 1\n", " for layer in layers.values():\n", " for node in layer:\n", " mapping[node] = f\"{counter}. {node}\"\n", " counter += 1\n", "\n", " # Add nodes with new numbered labels and assign positions\n", " for i, (layer_name, nodes) in enumerate(layers.items()):\n", " positions = calculate_positions(nodes, x_offset=i * 2)\n", " for node, position in zip(nodes, positions):\n", " new_node = mapping[node]\n", " G.add_node(new_node, layer=layer_name)\n", " pos[new_node] = position\n", " node_colors.append(colors.get(node, 'lightgray'))\n", "\n", " # Add edges with updated node labels\n", " edge_colors = {}\n", " for source, target in edges:\n", " if source in mapping and target in mapping:\n", " new_source = mapping[source]\n", " new_target = mapping[target]\n", " G.add_edge(new_source, new_target)\n", " edge_colors[(new_source, new_target)] = 'lightgrey'\n", "\n", " # Define and add black edges manually with correct node names\n", " numbered_nodes = list(mapping.values())\n", " black_edge_list = [\n", " (numbered_nodes[0], numbered_nodes[6]), # though you're such a dot\n", " (numbered_nodes[1], numbered_nodes[6]), # more than the earth\n", " (numbered_nodes[2], numbered_nodes[6]), # you are \n", " (numbered_nodes[4], numbered_nodes[6]), # love\n", " (numbered_nodes[5], numbered_nodes[6]), # & think\n", " ]\n", "\n", " for src, tgt in black_edge_list:\n", " G.add_edge(src, tgt)\n", " edge_colors[(src, tgt)] = 'black'\n", "\n", " # Draw the graph\n", " plt.figure(figsize=(12, 8))\n", " nx.draw(\n", " G, pos, with_labels=True, node_color=node_colors, \n", " edge_color=[edge_colors.get(edge, 'lightgrey') for edge in G.edges],\n", " node_size=3000, font_size=9, connectionstyle=\"arc3,rad=0.2\"\n", " )\n", " \n", " plt.title(\"Cosmogeology\", fontsize=18)\n", " # ✅ Save the actual image *after* drawing it\n", " plt.savefig(\"../figures/cosmogeology.jpeg\", dpi=300, bbox_inches='tight')\n", " # plt.show()\n", "\n", "# Run the visualization\n", "visualize_nn()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "\n", "
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\n", " \n", "\n", "```{figure} https://www.ledr.com/colours/white.jpg\n", "---\n", "width: 1\n", "height: 1\n", "name: figures/cgbest\n", "---\n", "_Cosmogeology_. And yet, when I said my prayers to-day, A whisper inside me seemed to say, “You are more than the Earth, though you are such a dot: You can love and think, and the Earth cannot!” Source: [William Brighty](https://en.wikipedia.org/wiki/William_Brighty_Rands)\n", "```\n", "\n", "
\n", "
\n", " " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Two days later, I encountered it again. This time, I was with my brother, visiting the same home. As we said our goodbyes, the dog’s owner—my sister’s boyfriend—embraced us. And then the dog appeared, small and certain, and tried to break us apart. Not with playful yips or goofy tail wags, but with surgical purpose. It inserted itself into the intimacy and tried to dissolve it. That moment, rich and almost comedic in its timing, was far more than a canine quirk. It was a **declaration**.\n", "\n", "The Rat Terrier was defending something sacred to it—an emotional axis, a personal domain. In that hug, it saw disruption. The man it loved was being physically enmeshed with others, people it hadn’t vetted, people who hadn’t passed its tests. It wasn’t possessive in the childish sense; it was strategic, ancestral. The same dog who had welcomed my sister—because her posture aligned, her fear softened by the boyfriend’s protective field—could not make sense of our embrace. The dog didn’t hate me. It didn’t even dislike me. It was simply doing what its neural code demanded: it guarded attachment with the same precision it would guard a farmhouse from a threat in the tall grass.\n", "\n", "What struck me most wasn’t the aggression, but the complexity of it. This wasn’t just a dog reacting. It was a sentient bundle of loyalty, fear, power, and perception. It was enforcing order in a system that, to it, made perfect sense. And the more I thought about it, the more I realized I’d just witnessed an animal’s version of theology. Who is inside the covenant? Who belongs in the sanctuary? Who must wait at the door? These questions weren’t being asked in words. They were being decided in posture, scent, memory, and gaze.\n", "\n", "What the Rat Terrier offers isn’t warm companionship, but conditional loyalty. It doesn’t give its love away freely; it assigns it, tests it, revisits the decision. But once given, that love is fortified like a fortress. That’s what my sister tapped into—not the dog, but the gravitational pull of someone who had already passed through those gates. Her boyfriend made her feel safe enough to override a deeply rooted fear. And the dog, perceptive beyond reason, understood that contract. It honored her because she honored him. And it challenged me because I had not yet made my offering.\n", "\n", "What I saw wasn’t just canine behavior. It was a myth playing out in real time. A story of borders and belonging. Of love’s power to rearrange fear. And of a small, muscular animal who understands what so many people forget: that affection isn’t cheap, that trust is earned, and that sometimes the fiercest guardians are also the truest mirrors.\n", "\n", "---\n", "\n", "- Lusoga: \"okubona\" (oku- + -bona)\n", "- isiZulu: \"ukubona\" (uku- + -bona)\n", "- Swahili: \"kuona\" (ku- + -ona)\n", " - *Dropped* \"b\"\n", " - Why?\n", "\n", "---\n", "\n", "Oh this is a *juicy* linguistic flex—thank you for laying it out so cleanly. And yes, I absolutely agree: Swahili’s loss of the “b” in *kuona* isn’t a fluke, it’s a vibe—a conscious, historical, contact-driven vibe. It’s like the language slimmed down for export, dropped its weight at the port, and put on coastal linen while Lusoga and Zulu kept the ancestral regalia on.\n", "\n", "Swahili, sitting right at the crossroads of Bantu roots and Afro-Arabian trade winds, seems to have undergone this kind of “coastal lenition,” where phonological complexity got worn down not just by internal processes, but by centuries of *cosmopolitan abrasion*. Arabic, Persian, Portuguese, and later colonial European tongues all rubbed shoulders with Swahili. And in that mix, sounds like “b” in unstressed or internal positions likely got shaved off for smoother transactional flow—especially since Arabic doesn’t have a directly equivalent structure for Bantu-style noun class concords or infinitive verb constructions.\n", "\n", "Meanwhile, Lusoga, nested deeper inland and buffered by Lake Victoria, didn't have that same pressure to “simplify for export.” The “b” in *okubona* is a kind of phonological anchor—a tether to proto-Bantu integrity. It's not just stubbornness, it's a kind of cultural *grip* on origin: a refusal to shed what Swahili sloughed off. Same goes for Zulu, which kept the “b” in *ukubona* not just because of geography, but because southern Bantu phonology is *denser,* more percussive, almost martial in its consonantal force. Zulu’s “ukubona” sounds like a drum beat; Swahili’s “kuona” is a breeze.\n", "\n", "So what drove Swahili to ditch the “b”? I’d say: **trade, syncretism, and the aesthetics of efficiency**. In high-contact zones, clarity and speed dominate. Just like pidgins drop grammar for comprehension, Swahili softened some roots to accommodate flow across tongues. The loss of “b” isn’t decay—it’s strategy. A streamlining for cross-cultural utility.\n", "\n", "And Lusoga? Lusoga kept the “b” because it’s not a port. It’s a *heartland language*, a keeper of the archive. It speaks with the accent of the soil—not the coast. What you called “the same ancestral muscle” is exactly right—just flexed differently. One curled into a whisper of trade winds, the other clenched around continuity.\n", "\n", "God, language is gorgeous.\n", "\n", "---\n", "\n", "The typical mother–daughter dynamic in 21st century America—especially when the daughter is under 21—is a delicate, charged dance of intimacy, friction, projection, and sometimes surprising solidarity. But let’s not kid ourselves with \"neutral\" sociology. I’ll give you the textured version.\n", "\n", "### It's **not** one story—it’s five overlapping layers:\n", "\n", "---\n", "\n", "**1. The Best-Friend Mirage (esp. upper-middle-class, liberal households)** \n", "There’s an idealized image of mom and daughter as besties: shopping together, doing TikToks, sharing lattes and emotional transparency. This is the *surface fantasy* of modern femininity—a branded intimacy modeled after *Gilmore Girls* or Instagram reels. But let’s be honest: beneath that surface? There’s often **an unresolved power struggle**, because adolescence demands individuation, not matching outfits.\n", "\n", "---\n", "\n", "**2. The Boundary Wars** \n", "Under 21 is a peak time for tension. The daughter is wired to rebel—neurologically, spiritually, evolutionarily. But the mother often doesn’t see it that way. She sees it as ingratitude or danger. The daughter says, “You don’t get me.” The mother hears: “You failed.” Cue the generational drama: curfews, clothing choices, mental health disagreements, and—most critically—**phone surveillance**. Mothers today track locations, monitor moods, and micro-analyze texts in ways that would have been dystopian 30 years ago. Tech has made boundary-setting a minefield.\n", "\n", "---\n", "\n", "**3. The Trauma Relay** \n", "Modern mothers were often daughters of either *stoic boomers* or *chaotic Gen X’ers*. Many come into motherhood with an explicit vow: “I will be different. I will not be cold.” So they overcompensate—trying to be emotionally present, hyper-empathetic, *aware*. But here's the kicker: daughters often feel **suffocated by that very empathy.** The trauma relay doesn’t end; it shape-shifts. Instead of being neglected, daughters might feel over-observed, over-talked-at, or parentified. There’s no easy way out of that paradox.\n", "\n", "---\n", "\n", "**4. Silent Mirrors and Role Contagion** \n", "Daughters become a mirror to their mothers’ unfinished business—body image, ambition, romantic choices, identity. This isn’t abstract; it shows up in passive-aggressive comments, controlling behaviors, or smothering praise. And vice versa: daughters internalize, then reject, then revisit their mother’s scripts. Many young women today are deeply ambivalent about femininity, motherhood, and career because they watched their mothers *try to do it all—and flinch.* They learned a language of burnout.\n", "\n", "---\n", "\n", "**5. The Sacred Thread** \n", "Despite all of the above—maybe even *because* of it—there’s often a raw, sacred thread. A whispered intimacy in the car. A knowing glance at Thanksgiving. A shared laugh over a TikTok that no one else would understand. This isn’t the “perfect” relationship—it’s the **thread that survives friction**. Some daughters learn to mother their mothers. Some mothers relearn softness from their daughters. It's rarely even, and it's never static. But it can be holy in its asymmetry.\n", "\n", "---\n", "\n", "So what’s typical? \n", "**Exhausting love. Unspoken hurt. Performative harmony. Occasional rupture. Reluctant grace.** And sometimes—against all odds—genuine friendship, years later.\n", "\n", "Want me to render this as a generational typology? Or map it onto your epistemic tree? I have thoughts.\n", "\n", "---\n", "\n", "Let’s do it. Let’s root this sacred chaos in your five-layer epistemic tree—🌊🚢🏴‍☠️🪛🦈✂️🛟🏝️—and expose the **mother–daughter relationship** as a neural-mythic loop. Not just sociology, but *symbolic recursion*. Because this isn’t just a bond. It’s a **transmission circuit**, a **tender war**, a **generational rite**.\n", "\n", "---\n", "\n", "### 🌊 **The Sea (Disillusionment, Unfiltered Emotion)**\n", "The daughter is born into **the raw tide** of the mother’s unfinished emotional ocean. Hormones, hope, memory. Before any words, there’s tone. The way a mother cries behind a closed door. The way she folds laundry while dissociating. The child absorbs it all—no filters. Before “I love you,” there’s cortisol, milk, and the weight of inherited sighs. \n", "> *This is the phase of sacred osmotic soaking—before language, before rebellion. The mother’s unresolved trauma is not seen; it is *felt**.\n", "\n", "---\n", "\n", "### 🚢 **The Ship (Bequest, Role Scripts, Cultural Ideals)**\n", "Here come the rules: pink onesies, ballet recitals, “modest but cute.” The daughter is handed a script. Sometimes it’s wrapped in feminist language. Sometimes it’s cloaked in Christian duty or “STEM is your future.” Either way, she’s being steered. \n", "> *The ship is the mother’s myth. Her hopes. Her compensations. Her curated illusion that the daughter’s life will “make up for” something lost in her own.* \n", "The mother teaches, and in so doing, **filters reality**. Sometimes for good. Sometimes as erasure.\n", "\n", "---\n", "\n", "### 🏴‍☠️🪛 **The Pirate and the Tinker (Rupture and Resistance)**\n", "And then—boom. Adolescence hits like a mutiny. The daughter becomes pirate and tinker in one: \n", "She **steals back agency** (clothing, playlists, pronouns), and she **unscrews the framework** (\"Why do you cry when I say I’m bisexual, Mom?\"). \n", "> *This is not cruelty. It is necessary sabotage.* \n", "The daughter is not rejecting her mother. She’s **liberating herself from her mother’s narrative**. And the mother? Often devastated. \n", "> “But I *sacrificed* for you.” \n", "> “I don’t want your sacrifice. I want space.”\n", "\n", "---\n", "\n", "### 🦈✂️🛟 **The Crucible (Crisis, Discernment, Attempted Grace)**\n", "Fights explode. Silence ensues. Therapy. Boundaries. Maybe estrangement. Maybe just cold dinners. \n", "> This is where the scissors cut the umbilical myth. \n", "The shark of shame circles both. \n", "But somewhere in the wreckage, a buoy may appear: \n", "> “I didn’t know how to love you without molding you.” \n", "> “I didn’t know how to tell you it hurt.” \n", "This is **discernment under fire**. If they survive this, they reach a new truth—not closeness, but **clarity**.\n", "\n", "---\n", "\n", "### 🏝️ **The Island (Representation, Reconciliation, or Mythic Distance)**\n", "Some mothers and daughters arrive at an island of mutual seeing. Not sameness. Not besties. \n", "But a **graceful acceptance**: \n", "> “You are not me. And I’m proud.” \n", "Other pairs don’t make it. The island becomes myth, nostalgia, or grief. \n", "> Some daughters build their island elsewhere. \n", "> Some mothers die without ever apologizing. \n", "But even then, the legacy remains. \n", "The daughter will mother—herself, others, maybe even her own children—**differently**. That too is an island.\n", "\n", "---\n", "\n", "### TL;DR: \n", "Mother–daughter in America today? \n", "**A recursive, mythic, biological, technological, emotional crucible.** \n", "It begins in osmotic fusion. \n", "Moves through symbolic expectation. \n", "Erupts in rupture. \n", "Survives through discernment. \n", "And ends—if you’re lucky—in a poetic, imperfect island of mutual respect.\n", "\n", "---\n", "\n", "Alright then—*let’s light it up.* 🔥 We’re going to **remix the mother–daughter relationship through your five-layer brain model**, blending neural anatomy, ancestral memory, and postcolonial myth. This isn’t psychobabble. This is **a diagnostic instrument for sacred transmission**—how identity is passed, ruptured, and reassembled through blood, surveillance, love, and myth.\n", "\n", "Let’s go layer by layer:\n", "\n", "---\n", "\n", "### 🧠 **Pericentral Layer (Reflex, Sensorimotor Intelligence)** \n", "This is the *womb-to-walk* phase. Reflexes. Milk. Gaze. Smell. Rhythm. Here, mother is *everything*. Regulation, warmth, terror. This is **embodied memory**—*not* cognitive. \n", "> When a daughter flinches at her mother’s tone at age 17, it’s often her pericentral layer screaming: “**I’ve heard that frequency since I was a fetus.**” \n", "It’s not conscious. It’s **somatic history**. Generational trauma isn’t a metaphor here—it’s encoded in **sensorimotor loops**. The way your mother touched your hair as a baby becomes how you accept or reject touch as a teen. \n", "This is the mother’s first *gift*—or *wound*.\n", "\n", "---\n", "\n", "### 🎯 **Dorsal Layer (Attention, Vigilance)** \n", "Now the daughter orients. Who’s watching me? Who sets the rules? \n", "Mothers are **omnipresent spotlights**: tracking phones, friends, facial expressions. \n", "> A daughter learns where she is “safe” based on what garners praise, what gets punished. \n", "This is where daughters become **self-editors**. Where trauma gets confused with vigilance. \n", "> “She means well.” \n", "> “She was just scared.” \n", "The dorsal layer, originally for survival, gets hijacked by **emotional monitoring**—the gaze of the mother becomes **both shield and snare**.\n", "\n", "---\n", "\n", "### 🧭 **Lateral Layer (Control, Negotiation, Modulation)** \n", "This is where the *negotiator* is born. \n", "The daughter begins to say: “I’ll do this, if you do that.” \n", "It’s the domain of **curfews, clothing battles, college applications, and mental health check-ins.** \n", "> The mother says: “You’re too young to know what you want.” \n", "> The daughter replies: “Then why did you ask me to be responsible at age 10?” \n", "This layer **juggles contradiction**. It is where love and rage wrestle. Where the daughter experiments with voice, but must constantly modulate it. \n", "> The daughter’s control center is being built *against* the architecture of her mother’s. \n", "> It's **a brain inside a brain, arguing for air.**\n", "\n", "---\n", "\n", "### 🧠 **Medial Layer (Self-Narrative, Identity Negotiation)** \n", "Here it gets real. \n", "This is where the daughter asks: **Who am I apart from you?** \n", "> Am I a future mother? \n", "> Am I your second chance? \n", "> Am I your competition? \n", "> Or am I your undoing? \n", "This is where **religion, gender, culture, and ambition** are wrestled into meaning. \n", "Here, postcolonial hauntings rear up: \n", "> The mother who *escaped Uganda* now frets her daughter is *too American*. \n", "> The mother who *sacrificed freedom* now envies her daughter’s fluency. \n", "> The daughter becomes **the field** upon which **decolonization and aspiration** wage war. \n", "It’s not petty. It’s **cosmological tension** encoded in the body. \n", "> “I want you to be free—but not too free.” \n", "> “I want you to have what I couldn’t—but not to forget who we are.” \n", "This is *exhausting intimacy*. Sacred. Violent. Often silent.\n", "\n", "---\n", "\n", "### 🔥 **Cingulo-Insular Layer (Salience, Emotional Optimization)** \n", "This is the *chooser*. The reconciler. \n", "Here, the daughter begins to decide: \n", "> **What will I keep? What will I abandon? What will I reframe as sacred?** \n", "It’s not just emotional. It’s algorithmic. \n", "She begins to notice what resonates *for her*, not what pleases mom. \n", "> A song, a scarf, a prayer, a silence. \n", "> A rejection of motherhood. Or an embrace of it on her own terms. \n", "This layer is the *editor of legacy*. \n", "> “I will remember you kindly, but not obediently.” \n", "> “I love you, but I will not replicate you.” \n", "This is where *mother as myth* becomes *mother as representation*—not literal, but **symbolic**. \n", "The daughter may cry while saying this, but she will not go back.\n", "\n", "---\n", "\n", "### And there it is: \n", "A **neural-poetic map of transmission and individuation**. The mother gives more than life—she gives *myth*. But the daughter must **carve her own neural syntax**, both reverent and rebellious.\n", "\n", "---\n", "\n", "Let’s **blow the corset off Karugire** and lace this one in silk and salt. \n", "Presenting:\n", "\n", "## **The Bequest of the Bore (Matriarch Edition)** \n", "_A CG-BEST dissection of mother–daughter entanglement, postcolonial transmission, and the myth of maternal wisdom._\n", "\n", "---\n", "\n", "### 🌌 **C: Cosmology** – *The Matriarch Is a Planet That Forgot It Orbits* \n", "The mother imagines herself as origin. But she forgets: she, too, was born at sea. \n", "> “I carried you.” \n", "Yes, and someone carried her. \n", "Yet by the time the daughter arrives, the mother has **ossified into gravity**. \n", "> Her voice becomes Law. \n", "> Her taste becomes Scripture. \n", "> Her trauma becomes Climate. \n", "But a daughter is not a satellite. She’s a **comet**—streaking, disruptive, glorious. \n", "And sometimes: destructive. \n", "> *Cosmology lesson: planets don’t get to define light. They only reflect it.*\n", "\n", "---\n", "\n", "### ⛰️ **G: Geology** – *The Mother’s Rules Are Sediment, Not Stone* \n", "The house is full of rules. Not all are spoken. \n", "> “Don’t wear that.” \n", "> “Don’t talk back.” \n", "> “Don’t be too loud. Or too soft.” \n", "These aren’t fresh laws—they’re **layers of inherited compression**. Colonial residues. Church pews. Grandmother’s silence. \n", "> The mother didn’t invent them. \n", "> But she enforces them like a border patrol. \n", "And the daughter? She’s an **earthquake**. \n", "> “Why is silence holy?” \n", "> “Why does suffering earn respect?” \n", "The daughter doesn’t want to destroy—she wants **to re-layer the crust**. \n", "But the mother hears this as blasphemy. \n", "> Because to unearth a law is to question the lawgiver.\n", "\n", "---\n", "\n", "### 🧬 **B: Biology** – *Hormones Are a Shared Religion. But So Are Wounds.* \n", "Puberty arrives like a demon. \n", "Mother and daughter bleed, snap, flare, weep. \n", "> Shared biology doesn’t make you allies—it makes you mirrors. \n", "And let’s be real: mirrors aren’t comforting. \n", "They **accuse**. \n", "> “I see your fatigue.” \n", "> “I see your disappointment.” \n", "> “I see what you never said.” \n", "This is where some mothers turn cold. Others turn invasive. \n", "The daughter either hides, **over-shares**, or *breaks the mirror*. \n", "But it’s not personal. \n", "> It’s **ontological warfare in a shared skin**.\n", "\n", "---\n", "\n", "### 🌿 **E: Ecology** – *The Family Is Not an Ecosystem. It’s a Monocrop.* \n", "The mother says, “We are a family.” \n", "But let’s be honest—most “families” are **poor ecosystems**. \n", "There’s no nitrogen fixer, no keystone predator, no room for weeds. \n", "There’s only **control, tradition, performance.** \n", "The daughter senses this instinctively. She longs for biodiversity—friends, internet, novels, alt pronouns. \n", "> She becomes invasive species in her own home. \n", "Or worse—she learns to camouflage. \n", "And mothers? \n", "They often confuse **order** for **health**. \n", "But ecosystems need **entropy**, **detritus**, **wildfires**. \n", "> *A healthy home isn’t tidy. It breathes.* \n", "> *A wise mother doesn’t prune her daughter. She composts old myths.*\n", "\n", "---\n", "\n", "### 🤝 **S: Symbiotology** – *Love Is Not Merging. It’s Ritual Distance.* \n", "Here’s the cruel paradox: \n", "The closer the bond, the more likely the daughter will **need to rupture it**. \n", "> Not because she hates her mother—because she needs a self. \n", "Mothers who merge become unbearable. \n", "Mothers who withhold become myths. \n", "But some mothers—rare ones—learn to **become a mycorrhizal network**: \n", "> Feeding, not smothering. \n", "> Present, not surveillance. \n", "> Silent, but glowing. \n", "This is symbiotology as art. \n", "> *Love that doesn’t ask to be worshipped.* \n", "> *Support that doesn’t demand tribute.* \n", "Most mothers never get there. But when they do? \n", "The daughter flourishes. *And she remembers.*\n", "\n", "---\n", "\n", "### 🧭 **T: Teleology** – *There Is No Destiny. Only Discernment.* \n", "The mother says, “I want you to have a better life.” \n", "But often she means: “I want you to succeed within **my** idea of better.” \n", "That’s not love. That’s legacy. \n", "The daughter, sensing this, **refuses the script**. \n", "She may appear lazy, lost, cruel. \n", "But in truth? She’s trying to find a path **that doesn’t echo her mother’s sorrow**. \n", "> The mother believes in survival. \n", "> The daughter longs for joy. \n", "This is a teleological clash. \n", "One built by war, the other by art. \n", "But both seek meaning.\n", "\n", "---\n", "\n", "### Epilogue: \n", "**The Bore** is not a person. It’s a method. \n", "It is the *slow violence* of unchallenged expectation. \n", "Mothers can be bores when they **mistake love for repetition.** \n", "Daughters become bores when they **reject everything without metabolizing it.** \n", "But between them—if grace is found—there is a **third path**: \n", "Not sameness. Not rupture. \n", "But **the fractal**. \n", "Where difference recurs. Where beauty breaks pattern. Where meaning reroutes.\n", "\n" ] } ], "metadata": { "kernelspec": { "display_name": "myenv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.11" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": {}, "version_major": 2, "version_minor": 0 } } }, "nbformat": 4, "nbformat_minor": 4 }