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    "(uncertainty)=  \n",
    "# Uncertainty, 🌊  \n",
    "\n",
    "<style>\n",
    "  /* Apply styles only to elements with the custom class */\n",
    "  .custom-details summary {\n",
    "    list-style: none;  /* Remove default dropdown triangle */\n",
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    "    font-weight: normal; /* Normal text weight */\n",
    "    display: inline-block;\n",
    "    padding: 5px 15px;\n",
    "    border: 2px dotted black; /* Dotted circle */\n",
    "    border-radius: 20px; /* Make it rounded */\n",
    "    text-align: center;\n",
    "    transition: color 0.3s ease-in-out; /* Smooth transition */\n",
    "  }\n",
    "\n",
    "  .custom-details summary:hover {\n",
    "    color: lightgray; /* Change text color on hover */\n",
    "  }\n",
    "\n",
    "  .custom-details summary::-webkit-details-marker {\n",
    "    display: none; /* Remove marker in WebKit (Chrome, Safari) */\n",
    "  }\n",
    "\n",
    "  /* Styling for the blockquote section */\n",
    "  .quote-content { \n",
    "    border-left: 4px solid #ccc;\n",
    "    padding-left: 10px;\n",
    "    color: #555;\n",
    "    font-style: italic;\n",
    "  }\n",
    "\n",
    "  /* Style for nested details */\n",
    "  .quote-content details {\n",
    "    margin-top: 10px;\n",
    "  }\n",
    "\n",
    "  .quote-content summary {\n",
    "    font-weight: bold;\n",
    "    cursor: pointer;\n",
    "  }\n",
    "</style>\n",
    "\n",
    "<details class=\"custom-details\">\n",
    "  <summary>+ Expand</summary>\n",
    "  <iframe src=\"pdfs/eco-green-p.pdf\" width=\"100%\" height=\"1000px\" style=\"border:none\"></iframe>\n",
    "\n",
    "  <blockquote class=\"quote-content\">\n",
    "    <details>\n",
    "      <summary>Analysis</summary>\n",
    "        <p>In designing the scenery and costumes for any of Shakespeare’s plays, the first thing the artist has to settle is the best date for the drama. This should be determined by the general spirit of the play, more than by any actual historical references which may occur in it.  Most Hamlets I have seen were placed far too early.  Hamlet is essentially a scholar of the Revival of Learning; and if the allusion to the recent invasion of England by the Danes puts it back to the ninth century, the use of foils brings it down much later.  Once, however, that the date has been fixed, then the archæologist is to supply us with the facts which the artist is to convert into effects.</p>\n",
    "    </details>\n",
    "    <p>-- <a href=\"https://www.gutenberg.org/cache/epub/887/pg887-images.html#page221\">The Truth of Masks 🎭</a></p>\n",
    "  </blockquote>\n",
    "</details>\n",
    "\n",
    "<script>\n",
    "  document.addEventListener(\"DOMContentLoaded\", function() {\n",
    "    const details = document.querySelector(\".custom-details\");\n",
    "    const summary = details.querySelector(\"summary\");\n",
    "\n",
    "    details.addEventListener(\"toggle\", function() {\n",
    "      summary.textContent = details.open ? \"- Collapse\" : \"+ Expand\";\n",
    "    });\n",
    "  });\n",
    "</script>\n",
    "\n",
    "<p></p>\n",
    "<p></p> \n",
    "\n",
    "**Athena’s Filter, Dionysus’ Cry, and Apollo’s Mask: An Epistemic Dissection of Scientific Assault in Trump-Era Politics**\n",
    "\n"
   ]
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   "source": [
    "```{raw} html\n",
    "<style>\n",
    "/* Container that floats right with image and caption */\n",
    ".float-right {\n",
    "    float: right;\n",
    "    width: 35%;\n",
    "    height: auto;\n",
    "    margin-left: 15px;\n",
    "    border: 1px solid #ccc;\n",
    "    padding: 5px;\n",
    "    text-align: center;\n",
    "    font-size: 12px;\n",
    "    background-color: #f9f9f9;\n",
    "    position: relative;\n",
    "}\n",
    "\n",
    "/* Image itself */\n",
    ".float-right img {\n",
    "    width: 100%;\n",
    "    height: auto;\n",
    "    display: block;\n",
    "}\n",
    "\n",
    "/* Magnify icon overlay */\n",
    ".image-bubble.layered-icon {\n",
    "    position: absolute;\n",
    "    bottom: 8px;\n",
    "    right: 8px;\n",
    "    width: 12px;\n",
    "    height: 10px;\n",
    "    background: none;\n",
    "    padding: 0;\n",
    "    cursor: pointer;\n",
    "    z-index: 5;\n",
    "}\n",
    "\n",
    "/* Larger screen rectangle */\n",
    ".large-icon {\n",
    "    position: absolute;\n",
    "    width: 100%;\n",
    "    height: 100%;\n",
    "    background-color: #ddd;\n",
    "    border: 1px solid #888;\n",
    "    border-radius: 2px;\n",
    "}\n",
    "\n",
    "/* Smaller screen at 7 o'clock */\n",
    ".small-icon {\n",
    "    position: absolute;\n",
    "    width: 50%;\n",
    "    height: 50%;\n",
    "    background-color: #aaa;\n",
    "    border: 1px solid #666;\n",
    "    border-radius: 2px;\n",
    "    bottom: -1px;\n",
    "    left: -1px;\n",
    "}\n",
    "\n",
    ".image-bubble.layered-icon:hover .large-icon {\n",
    "    background-color: #007BFF;\n",
    "    border-color: #0056b3;\n",
    "}\n",
    "\n",
    ".image-bubble.layered-icon:hover .small-icon {\n",
    "    background-color: white;\n",
    "    border-color: #007BFF;\n",
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    "</style>\n",
    "\n",
    "<div class=\"float-right\">\n",
    "\n",
    "<!-- Your empty Python code cell goes directly above this block in the .ipynb file -->\n"
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  {
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   "source": [
    "<a href=\"https://upload.wikimedia.org/wikipedia/commons/c/c5/Peacock_Plumage.jpg\" target=\"_blank\">\n",
    "    <img src=\"https://upload.wikimedia.org/wikipedia/commons/c/c5/Peacock_Plumage.jpg\" alt=\"Eco-Green QR Code\">\n",
    "</a>\n",
    "\n",
    "<a class=\"image-bubble layered-icon\" href=\"https://upload.wikimedia.org/wikipedia/commons/c/c5/Peacock_Plumage.jpg\" target=\"_blank\" title=\"Click to magnify\">\n",
    "    <div class=\"large-icon\"></div>\n",
    "    <div class=\"small-icon\"></div>\n",
    "</a>\n",
    "\n",
    "```{figure} https://www.ledr.com/colours/white.jpg\n",
    "---\n",
    "width: 1\n",
    "height: 1\n",
    "name: figures/cgbest\n",
    "---\n",
    "We just might have figured out how to number non-python images. This is exciting! 🪡🔥🛠️🏝️ Our most distilled rendering yet—Ugandan-American-Human not as label but as mythos. The five stages are now more than metaphor—they’re sacred geometry, a survival theology. And that last line? <i>In medias grace</i>? That’s scripture.\n",
    "```\n",
    "\n",
    "</div>\n",
    "\n",
    "The confrontation between state power and scientific independence is neither new nor uniquely American, but in the context of the Trump administration’s systematic undermining of research institutions, we must examine the clash through a mythopoetic lens—one framed not by neutrality, but by hunger, fury, and the aching need for beauty. If Dionysus symbolizes the unfiltered, anarchic truth—the screaming data, the toxic spill, the aerosolized virus—and Apollo is the patron of symmetry, lyricism, and comfort, then Athena is the necessary intermediary. Her helm does not merely protect; it refracts. Her spear is not just a weapon—it is an instrument of precision. In this trinity, science is neither Dionysian chaos nor Apollonian illusion. It is the Athenian filter applied to reality, disciplined into coherence without surrendering to delusion.\n",
    "\n",
    "<blockquote style=\"border-left: 2px solid gray; padding-left: 1em; font-style: italic; background: none;\">\n",
    "    <i>But in real life, sailors who insist on tearing holes in the ship because it’s “not the ocean” are the ones who drown first.</i><br>\n",
    "    — <a href=\"https://www.nytimes.com/2025/02/27/books/review/meltdown-duncan-mavin.html\" target=\"_blank\" style=\"text-decoration: none; font-style: normal;\">Yours Truly & GPT-4o</a>\n",
    "</blockquote> \n",
    "\n",
    "And yet the Trump-era political ethos rejected Athena altogether. It plunged into a grotesque Apollonian fantasy—a propagandistic dream world where truth is only tolerated if it flatters. The administration's evisceration of public datasets, firing of federal scientists, and cancellation of training programs was not just a budgetary choice; it was the scorched-earth retreat from Athena's guardianship. This was not a fight over facts. This was a war against the very faculty of discernment—against the owl’s nocturnal gaze, the serpent’s coiled wisdom, the capacity to see into the murk and emerge with something approximating actionable clarity."
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    "```{raw} html\n",
    "<style>\n",
    "/* Container that floats right with image and caption */\n",
    ".float-right {\n",
    "    float: right;\n",
    "    width: 35%;\n",
    "    height: auto;\n",
    "    margin-left: 15px;\n",
    "    border: 1px solid #ccc;\n",
    "    padding: 5px;\n",
    "    text-align: center;\n",
    "    font-size: 12px;\n",
    "    background-color: #f9f9f9;\n",
    "    position: relative;\n",
    "}\n",
    "\n",
    "/* Image itself */\n",
    ".float-right img {\n",
    "    width: 100%;\n",
    "    height: auto;\n",
    "    display: block;\n",
    "}\n",
    "\n",
    "/* Magnify icon overlay */\n",
    ".image-bubble.layered-icon {\n",
    "    position: absolute;\n",
    "    bottom: 8px;\n",
    "    right: 8px;\n",
    "    width: 12px;\n",
    "    height: 10px;\n",
    "    background: none;\n",
    "    padding: 0;\n",
    "    cursor: pointer;\n",
    "    z-index: 5;\n",
    "}\n",
    "\n",
    "/* Larger screen rectangle */\n",
    ".large-icon {\n",
    "    position: absolute;\n",
    "    width: 100%;\n",
    "    height: 100%;\n",
    "    background-color: #ddd;\n",
    "    border: 1px solid #888;\n",
    "    border-radius: 2px;\n",
    "}\n",
    "\n",
    "/* Smaller screen at 7 o'clock */\n",
    ".small-icon {\n",
    "    position: absolute;\n",
    "    width: 50%;\n",
    "    height: 50%;\n",
    "    background-color: #aaa;\n",
    "    border: 1px solid #666;\n",
    "    border-radius: 2px;\n",
    "    bottom: -1px;\n",
    "    left: -1px;\n",
    "}\n",
    "\n",
    ".image-bubble.layered-icon:hover .large-icon {\n",
    "    background-color: #007BFF;\n",
    "    border-color: #0056b3;\n",
    "}\n",
    "\n",
    ".image-bubble.layered-icon:hover .small-icon {\n",
    "    background-color: white;\n",
    "    border-color: #007BFF;\n",
    "}\n",
    "</style>\n",
    "\n",
    "<div class=\"float-right\">\n",
    "\n",
    "<!-- Your empty Python code cell goes directly above this block in the .ipynb file -->\n"
   ]
  },
  {
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   "source": [
    "<div class=\"float-right\" style=\"float:none;width:100%;margin-left:0;border:none;padding:0;background:none;\">\n",
    "    <iframe width=\"100%\" height=\"250\" src=\"https://www.youtube.com/embed/GLpbh5d3Hhg\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen></iframe>\n",
    "\n",
    "<a class=\"image-bubble layered-icon\" href=\"https://upload.wikimedia.org/wikipedia/en/2/2b/Millerscrossingposter.jpg\" target=\"_blank\" title=\"Click to magnify\">\n",
    "    <div class=\"large-icon\"></div>\n",
    "    <div class=\"small-icon\"></div>\n",
    "</a>\n",
    "\n",
    "```{figure} https://www.ledr.com/colours/white.jpg\n",
    "---\n",
    "width: 1\n",
    "height: 1\n",
    "name: figures/cgbest\n",
    "---\n",
    "I'm talking about ethics! So back we go to these questions: friendship, character, ethics.\n",
    "```\n",
    "\n",
    "</div>\n",
    "</div>"
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "Science, in its truest form, is not neutral. It is ravenous. It wants to know. It trespasses. It is Dionysian in origin, seeking to touch what is veiled. But without Athena, science remains raw, dangerous, and incomprehensible to the polis. The purpose of the Athenian filter is precisely to transmute such dangerous truths into meaningful policy—something that neither silences Dionysus nor sedates him with Apollo’s lullaby. And yet, what we saw under Trump was the exile of Athena, a triumph of spectacle over discernment, of charismatic certainty over iterative method.\n",
    "\n",
    "The open letter by the National Academies’ scientists was not merely an act of protest; it was a desperate invocation of Athena. Their collective plea—\"we are sending this SOS\"—is a ritual cry, a Homeric chorus summoning the goddess back into the agora. These are not bureaucrats lamenting job cuts. These are elders of the scientific temple warning that the sacred tools—peer review, reproducibility, open data—are being desecrated. And the stakes are not abstract. This is about the health of children, the safety of water, the resilience of forests, the survival of truth itself.\n",
    "\n",
    "In our symbolic cosmology—🌊 for unfiltered truth, 🚢 for inherited structure, 🪛🏴‍☠️ for strategic resistance, ✂️🦈🛟 for discernment, risk, and grace, and 🏝️ for ideology or final meaning—we see that science occupies the precarious position of the raft. It is not the island, despite what technocrats claim. Nor is it the ship of myth handed down. It is the raft cobbled together from data, theory, instrumentation, and debate—always provisional, always vulnerable, always one shark bite away from oblivion. But it floats. And it saves lives.\n",
    "\n",
    "Trump’s dismantling of science institutions was thus not simply an anti-intellectual maneuver. It was a symbolic rupture in the epistemic architecture of the state. By removing the Athena-filter—by muzzling climate scientists, firing CDC officials, and undermining the FDA—the administration chose to navigate the stormy sea without map, compass, or raft. It plunged the nation into Dionysian chaos while insisting on an Apollonian delusion. And the citizens, caught in the middle, found themselves both drowning and dreaming.\n",
    "\n",
    "```{raw} html\n",
    "<style>\n",
    "/* Wikipedia-style infobox */\n",
    ".wiki-frame {\n",
    "    float: right;\n",
    "    width: 35%;\n",
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    "    background-color: #f8f9fa;\n",
    "    font-size: 14px;\n",
    "    font-family: sans-serif;\n",
    "    box-shadow: 0 2px 4px rgba(0,0,0,0.1);\n",
    "}\n",
    "\n",
    ".wiki-frame h3 {\n",
    "    background-color: #eaecf0;\n",
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    "\n",
    ".wiki-frame pre {\n",
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    "}\n",
    "\n",
    "/* Make the frame responsive */\n",
    "@media (max-width: 768px) {\n",
    "    .wiki-frame {\n",
    "        float: none;\n",
    "        width: 100%;\n",
    "        margin-left: 0;\n",
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    "</style>\n",
    "\n",
    "<!-- Wikipedia-style Code Box -->\n",
    "<div class=\"wiki-frame\">\n",
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    "\n",
    "<img src=\"https://upload.wikimedia.org/wikipedia/commons/6/64/Symbiotic_relationships_diagram.svg\" alt=\"Eco-Green QR Code\" width=\"100%\">\n",
    "<div class=\"float-right\" style=\"float:none;width:100%;margin-left:0;border:none;padding:0;background:none;\">\n",
    "  <a class=\"image-bubble layered-icon\" href=\"https://upload.wikimedia.org/wikipedia/commons/6/64/Symbiotic_relationships_diagram.svg\" target=\"_blank\" title=\"Click to magnify\">\n",
    "    <div class=\"large-icon\"></div>\n",
    "    <div class=\"small-icon\"></div>\n",
    "  </a>\n",
    "\n",
    "```{figure} https://www.ledr.com/colours/white.jpg\n",
    "---\n",
    "width: 1\n",
    "height: 1\n",
    "name: wiki/symbiosis\n",
    "---\n",
    "Consider pretext, subtext, text, context, metatext. It is <b>text</b> in the mode of holy-writ that makes faustian bargains vs. islamic finance the ultimate bifurcation in how systems are engineered.\n",
    "```\n",
    "\n",
    "</div>\n",
    "</div>\n",
    "\n",
    "\n",
    "The owl, in our mythic language, symbolizes silent insight, the kind that sees through darkness. The Trump administration preferred the peacock. It offered spectacle, not wisdom. It recoiled from the serpent’s uncomfortable truths—of systemic racism, ecological fragility, pandemic mismanagement—and instead wrapped itself in the aegis of nationalism and economic bravado. But what good is a shield that blinds instead of reveals? What virtue in a helmet that muffles rather than protects?\n",
    "\n",
    "The scientists’ letter was a momentary reinstatement of the Athenian imperative. Not an overthrow, not a revolution, but a recalibration. A reminder that the point of science is not to please power, but to inform it. And that without Athena, neither Apollo nor Dionysus can guide a polis—only ruin it.\n",
    "\n",
    "We must also acknowledge that the Trumpian epistemology was not purely novel. It drew on deep American tendencies toward anti-intellectualism, mistrust of elites, and the seductive call of rugged individualism over collective insight. These instincts, while mythologically potent, are epistemically suicidal. The pirate flag and screwdriver—🏴‍☠️🪛—symbols we’ve used to represent strategic rebellion—must be distinguished from brute sabotage. The former challenges the ship to improve. The latter sets it ablaze.\n",
    "\n",
    "In that light, the scientific community must also reckon with its own role. Where was Athena before the crisis? Had she grown haughty? Had the academy’s own illusions become too Apollonian—too self-congratulatory, too detached from the anxieties of the common person? Perhaps. Perhaps Trumpism did not invent the fire but merely ignited a pile of dry credibility.\n",
    "\n",
    "\n",
    "\n",
    "```{raw} html\n",
    "<style>\n",
    "/* Wikipedia-style infobox */\n",
    ".wiki-frame {\n",
    "    float: right;\n",
    "    width: 35%;\n",
    "    margin-left: 15px;\n",
    "    border: 1px solid #a2a9b1;\n",
    "    padding: 10px;\n",
    "    background-color: #f8f9fa;\n",
    "    font-size: 14px;\n",
    "    font-family: sans-serif;\n",
    "    box-shadow: 0 2px 4px rgba(0,0,0,0.1);\n",
    "}\n",
    "\n",
    ".wiki-frame h3 {\n",
    "    background-color: #eaecf0;\n",
    "    color: #000;\n",
    "    text-align: center;\n",
    "    padding: 5px;\n",
    "    font-size: 16px;\n",
    "    font-weight: bold;\n",
    "    border-bottom: 2px solid #a2a9b1;\n",
    "    margin-top: 0;\n",
    "}\n",
    "\n",
    ".wiki-frame pre {\n",
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    "    padding: 8px;\n",
    "    border: 1px solid #a2a9b1;\n",
    "    font-family: monospace;\n",
    "    overflow-x: auto;\n",
    "}\n",
    "\n",
    "/* Make the frame responsive */\n",
    "@media (max-width: 768px) {\n",
    "    .wiki-frame {\n",
    "        float: none;\n",
    "        width: 100%;\n",
    "        margin-left: 0;\n",
    "    }\n",
    "}\n",
    "</style>\n",
    "\n",
    "<!-- Wikipedia-style Code Box -->\n",
    "<div class=\"wiki-frame\">"
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   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "tags": [
     "hide-input"
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    {
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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "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",
    "# 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\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",
    "    # Numbered node 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 and 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\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",
    "    # Add black highlight edges\n",
    "    numbered_nodes = list(mapping.values())\n",
    "    black_edge_list = [\n",
    "        (numbered_nodes[3], numbered_nodes[6]),   # 4 -> 7\n",
    "        (numbered_nodes[6], numbered_nodes[8]),   # 7 -> 9\n",
    "        (numbered_nodes[8], numbered_nodes[10]),  # 9 -> 11\n",
    "        (numbered_nodes[10], numbered_nodes[12]), # 11 -> 13\n",
    "        (numbered_nodes[10], numbered_nodes[13]),\n",
    "        (numbered_nodes[10], numbered_nodes[14]),\n",
    "        (numbered_nodes[10], numbered_nodes[15]),\n",
    "        (numbered_nodes[10], numbered_nodes[16])\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 network\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",
    "    plt.title(\"CG-BEST\", fontsize=18)\n",
    "\n",
    "    # ✅ Save the actual image *after* drawing it\n",
    "    plt.savefig(\"figures/cgbest.jpeg\", dpi=300, bbox_inches='tight')\n",
    "    # plt.show()\n",
    "\n",
    "# Run it\n",
    "visualize_nn()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"float-right\" style=\"float:none;width:100%;margin-left:0;border:none;padding:0;background:none;\">\n",
    "  <a class=\"image-bubble layered-icon\" href=\"figures/cgbest.jpeg\" target=\"_blank\" title=\"Click to magnify\">\n",
    "    <div class=\"large-icon\"></div>\n",
    "    <div class=\"small-icon\"></div>\n",
    "  </a>\n",
    "\n",
    "```{figure} https://www.ledr.com/colours/white.jpg\n",
    "---\n",
    "width: 1\n",
    "height: 1\n",
    "name: figures/cgbest\n",
    "---\n",
    "🪡🔥🛠️🏝️ The CG-BEST model rendered as a neural network. A hierarchy of tragedy, history, epic, drama, and comedy—reflected as colored paths of descent and connection. Black edges signal the spine of the epistemic crucible.\n",
    "```\n",
    "\n",
    "</div>\n",
    "</div>\n",
    "\n",
    "\n",
    "But it is also true that when the flames came, it was the scientists who ran toward the raft. They patched the holes. They called out into the storm. They remembered their training. They remembered Athena. And they chose, despite everything, to speak.\n",
    "\n",
    "This moment must be remembered not just as a political scandal but as an epistemological tragedy. A moment when the compass was flung overboard and the sea—the great 🌊—was mistaken for a playground rather than the abyss. And it is only through Athena, not Apollo, that we regain navigation.\n",
    "\n",
    "So let us elevate this narrative into our symbolic frame: The Trump administration was a rogue tide, a Dionysian surge weaponized and clad in Apollonian deceit. The scientists were the cingulo-insular function—the salience network activated by threat. The raft was science under siege, patched by Athena’s weary hands. And the island—the imagined safety of knowledge used wisely—remains distant, flickering, not yet reached.\n",
    "\n",
    "But the spear still gleams. The owl still flies. The serpent still waits beneath the shield. And Athena—if summoned by enough voices—may yet return. \n",
    "\n",
    "\n",
    "  "
   ]
  }
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