{
  "version": "1.0",
  "kind": "Local demonstration; not a participant study",
  "score": "/scores/the-shape-of-almost.json",
  "scoreVersion": "2.0",
  "question": "After learning three local conventions, can a reader identify shared origin, retained alternatives and coupled emphasis in unfamiliar allocations?",
  "conditions": [
    "trained-structure",
    "matched-english"
  ],
  "conventions": [
    "A, B and C identify the same three futures throughout. They all connect to one origin.",
    "A percentage is expressive attention, not probability. Every future stays available at or above 10%.",
    "The total is 100%. Raising one allocation redistributes the remaining attention among the others in proportion to their amounts above the floor."
  ],
  "trainingExample": {
    "before": [
      0.2,
      0.5,
      0.3
    ],
    "after": [
      0.4,
      0.3666666666666667,
      0.2333333333333333
    ]
  },
  "trials": [
    {
      "id": "shift-a",
      "before": [
        0.3,
        0.35,
        0.35
      ],
      "after": [
        0.6,
        0.2,
        0.2
      ],
      "adjustedTarget": "arrival",
      "question": "Which future gains expressive attention?",
      "options": [
        "A",
        "B",
        "C"
      ],
      "correct": 0
    },
    {
      "id": "still-available",
      "before": [
        0.4,
        0.4,
        0.2
      ],
      "after": [
        0.25,
        0.25,
        0.5
      ],
      "adjustedTarget": "elsewhere",
      "question": "Which futures remain available after the change?",
      "options": [
        "Only C",
        "A, B and C",
        "Only the two largest"
      ],
      "correct": 1
    },
    {
      "id": "shared-origin",
      "before": [
        0.25,
        0.35,
        0.4
      ],
      "after": [
        0.13333333333333336,
        0.7,
        0.16666666666666669
      ],
      "adjustedTarget": "return",
      "question": "What stays shared?",
      "options": [
        "The same amount of attention",
        "One origin",
        "One final outcome"
      ],
      "correct": 1
    },
    {
      "id": "release",
      "before": [
        0.5,
        0.3,
        0.2
      ],
      "after": [
        0.2,
        0.5,
        0.30000000000000004
      ],
      "adjustedTarget": "arrival",
      "question": "When A gives up attention, what happens to B and C?",
      "options": [
        "Both gain attention",
        "Both lose attention",
        "Neither changes"
      ],
      "correct": 0
    },
    {
      "id": "dependence",
      "before": [
        0.3,
        0.4,
        0.3
      ],
      "after": [
        0.18,
        0.22000000000000003,
        0.6
      ],
      "adjustedTarget": "elsewhere",
      "question": "Are these allocations independent?",
      "options": [
        "Yes: one changes without affecting the others",
        "No: they share a conserved budget",
        "The diagram cannot encode dependence"
      ],
      "correct": 1
    },
    {
      "id": "unequal",
      "before": [
        0.35,
        0.25,
        0.4
      ],
      "after": [
        0.8,
        0.09999999999999999,
        0.09999999999999996
      ],
      "adjustedTarget": "arrival",
      "question": "Does the largest weight make A the definitive outcome?",
      "options": [
        "Yes",
        "No: all futures remain available",
        "Only if B and C are equal"
      ],
      "correct": 1
    }
  ],
  "procedure": "Choose one condition. Learn the same rules, answer six unfamiliar cases, then inspect feedback. Confidence and optional unexpected interpretations are included only in a local download. Switching condition or starting again clears the attempt.",
  "limitations": [
    "Self-selected visitors, no random assignment and no response collection.",
    "Repeating the demonstration teaches its answers; repeated attempts are not independent.",
    "Both conditions carry the same numerical and relational information. The visual condition also contains labels and percentages, so this does not isolate language-free understanding.",
    "The exercise tests learned local conventions, not general superiority, emotional meaning, equivalence of sound and image, or a language for all minds."
  ],
  "dataPolicy": {
    "networkSubmission": false,
    "browserPersistence": false,
    "aggregateResults": false
  },
  "futureTesting": "A real comparison would pre-register new cases, counterbalance or randomise conditions, recruit independent readers, document accessibility and prior familiarity, and publish errors and failures alongside successes."
}