Electromagnetic applied

Trust Gradient

show confidence, verification, and unsupported claims

Running the actual pattern live via applyPattern() — switch the substrate, stack overlays, watch the signals, or reverse the dynamics. Not a mock.

"Trust Gradient" — show confidence, verification, and unsupported claims. It has a charge layer (attract/repel charged matter), a link layer (ropes / cloth between neighbours), a cohesion layer (flocking — pull toward neighbours), and a memory layer (a decaying trail / hysteresis). The active render stack is heatmap, links, particles.

Electromagnetic charge pulls verified claims into coherence and separates contradictions, while links to sources set the trust gradient — evidence is the field, confidence the potential.

Runtime tokens: charge attract/repel charged matterlink ropes / cloth between neighbourscohesion flocking — pull toward neighboursmemory a decaying trail / hysteresis
Concepts: trust
Metrics: trust a semantic lane — drive it with data-field-<metric> (or a domain model); without that its --field-<metric> stays inertconfidence written only when the host supplies it — the engine never invents confidence/riskcoherence computed every frame by the platform (proximity · engagement · relationships · age)entropy computed every frame by the platform (proximity · engagement · relationships · age) trust is a host-supplied lane — drive it with data-field-<metric> (or a domain model); without that, its --field-* stays inert.
Diagnostics: causality topology inspector
Conditions: trusted
Render: heatmap · links · particles
Reduced motion: trust badges with an evidence table and an unsupported-claim list
Without motion: trust reads through per-claim badges, a supporting-evidence table, and a flagged unsupported-claim list

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<field-root></field-root>
  <div data-body="charge" data-strength="1" data-range="360" data-spin="1" data-feedback></div>
  <div data-body="link" data-strength="0.7" data-range="320"></div>
  <div data-body="cohesion" data-strength="0.6" data-range="300"></div>
  <div data-body="memory" data-strength="0.5" data-range="260"></div>

<script type="module">
  import '@fundamental-engine/elements';
</script>

<field-root></field-root>
  <div data-body="charge" data-strength="1" data-range="360" data-spin="1" data-feedback></div>
  <div data-body="link" data-strength="0.7" data-range="320"></div>
  <div data-body="cohesion" data-strength="0.6" data-range="300"></div>
  <div data-body="memory" data-strength="0.5" data-range="260"></div>

import { FieldField } from '@fundamental-engine/react';

export default function TrustGradient() {
  return (
    <FieldField>
      <div data-body="charge" data-strength="1" data-range="360" data-spin="1" data-feedback />
      <div data-body="link" data-strength="0.7" data-range="320" />
      <div data-body="cohesion" data-strength="0.6" data-range="300" />
      <div data-body="memory" data-strength="0.5" data-range="260" />
    </FieldField>
  );
}

{
  "id": "trust-gradient",
  "name": "Trust Gradient",
  "intent": "show confidence, verification, and unsupported claims",
  "naturalField": "electromagnetic",
  "primitives": [
    "charge",
    "link",
    "cohesion",
    "memory"
  ],
  "bodies": [
    {
      "body": "charge",
      "strength": 1,
      "range": 360,
      "spin": 1,
      "feedback": true
    },
    {
      "body": "link",
      "strength": 0.7,
      "range": 320
    },
    {
      "body": "cohesion",
      "strength": 0.6,
      "range": 300
    },
    {
      "body": "memory",
      "strength": 0.5,
      "range": 260
    }
  ],
  "render": [
    "heatmap",
    "links",
    "particles"
  ],
  "metrics": [
    "trust",
    "confidence",
    "coherence",
    "entropy"
  ],
  "diagnostics": [
    "causality",
    "topology",
    "inspector"
  ],
  "accessibility": {
    "reducedMotion": "trust badges with an evidence table and an unsupported-claim list",
    "meaningWithoutMotion": "trust reads through per-claim badges, a supporting-evidence table, and a flagged unsupported-claim list"
  },
  "notes": "Electromagnetic charge pulls verified claims into coherence and separates contradictions, while links to sources set the trust gradient — evidence is the field, confidence the potential.",
  "tier": "applied",
  "status": "shipped",
  "concepts": [
    "trust"
  ],
  "conditions": [
    "trusted"
  ]
}

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See also