Claim

In the study’s modeled channels, educational capacity partly mitigated the AI–inequality relationship, with heterogeneous roles for basic, higher, and vocational education.

Type OBSERVATIONAL · truth-evaluable: yes · status at snapshot: ACTIVE · created seq 16569 · qualifiers {"location":"China","population":"Chinese provincial panel data","time_range":"2010–2024 panel study","source_edition":"3ac8ef1d-a522-8949-a92f-86df3c9311bf"}

a comma-separated series may list several propositions

Referenced 112 times: checked 2, looked up by assistants 0, viewed 73, shared 37. A count of attention, not evidence.

Topics

Business · 1efd24fe AI · 1efd24fe

Assessment

Supported

Score: 0.8581 under ledger-default@0.3.0 at snapshot 27745

3 of 4 review checks done · 1 counted · 2 by the author only

1 independent evidence lineage · review checks 1 of 4 · stability MEDIUM

Main unresolved issue: 3 counted evidence items have no independence review; repeats of one origin may be counted as several coverage:97c7fd75-1cac-81a6-a2d6-452e858a60c5

Not yet independently audited.Evidence reviewed so far supports this claim, but only 1 of 4 review checks has been done.

Why?

Strongest counted support: The channel analysis reports partial and heterogeneous mitigation by basic, higher, and vocational educational capacity. weight 1.800000 evidence

Suppressed as dependent: The primary Scientific Reports study directly reports partial, heterogeneous mitigation by basic, higher, and vocational education in its modeled AI-inequality channels.; The passage directly reports partial, heterogeneous mitigation and distinct roles for basic, higher, and vocational education.

Review gaps: qualifiers reviewed, opposing search done, independence reviewed

What would most change this: One independent, direct measurement that contradicts this claim would move it from Supported to Unresolved.

Hide calculation

0.8581 under ledger-default@0.3.0 at snapshot 27745 · state Supported · Review checks: 1 of 4 · stability MEDIUM · 3 sources, 1 independent lineage

Model ledger-default@0.3.0 (the default model, not the answer) · snapshot 27745 · trace sha256:e1cf3685e7ab53defd758476dc8a1de5b3181e038a51d75a5a0f6c136b6f4eb3

Last changed at entry seq 16827; nothing logged since has borne on this claim.

How the number was reached

Each counted link is weighed by multiplying the factors the model declares; a factor it does not declare is not shown. Every factor name below links to what that number means.

Link	Working	Weight	Counted as
2939a271 support	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	1.800000	0.000000 (dependent strongest only, kept 45137521)
ca560277 support	relevance DIRECT 2.0 × observation DATASET_RESULT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	1.800000	0.000000 (dependent strongest only, kept 45137521)
45137521 support	relevance DIRECT 2.0 × observation DATASET_RESULT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	1.800000	1.800000

prior 0.50 → log-odds 0.000000 + 1.800000 (the counted weights) = 1.800000 → probability 0.8581

Under neighbouring settings of the same model: 0.7790 to 0.9121, a spread of 0.1331.

Half-even rounding, six places for weights and four for the probability. The same inputs under the same model reproduce this exactly; that is what the trace hash above is for. How a score is worked out explains every factor, why it is there, and what the model sets it to.

Your view

Registered views

Nobody has registered a view yet.

Registered views are personal belief, not evidence: they never change Galedra's assessment. Affiliations are self-declared and shown only for groups of 5 or more.

Checked as part of

Statements this claim was broken out of. The claim is scored on its own; a statement's reading only counts its claims.

“In the study’s modeled channels, educational capacity partly mitigated the AI–inequality relationship, with heterogeneous roles for basic, higher, and...” · 1 claim · 29 September 2026
“A Chinese provincial-panel study found AI diffusion associated with greater income inequality and urban–rural income gaps, while educational capacity partly...” · 2 claims · 29 September 2026

Evidence for

The channel analysis reports partial and heterogeneous mitigation by basic, higher, and vocational educational capacity.

From Artificial intelligence diffusion, educational capacity, and income inequality in China: evidence from structural transmission channels Read 2026-09-29 Relevance DIRECT Steps 0 Counted
The passage directly reports partial, heterogeneous mitigation and distinct roles for basic, higher, and vocational education.

From Artificial intelligence diffusion, educational capacity, and income inequality in China: evidence from structural transmission channels Read 2026-09-29 Relevance DIRECT Steps 0 Counted
The primary Scientific Reports study directly reports partial, heterogeneous mitigation by basic, higher, and vocational education in its modeled AI-inequality channels.

From Artificial intelligence diffusion, educational capacity, and income inequality in China: evidence from structural transmission channels Read 2026-09-29 Relevance DIRECT Steps 0 Counted

Primary peer-reviewed provincial-panel study; distinct education/economics topic.

Evidence against

None.

Qualifications

None.

Suppressed as dependent

Evidence	Group	Kept instead
87abd771		45137521
825263b1		45137521

Inferences

Concluded from

None.

Used as a premise in

None.

An inference is interpretation, not evidence: it never changes the assessment of its conclusion. Each premise is a claim with its own evidence.

Threads

None. Threads are for disagreements about how a determination was made — a statement whose figures are not in the passage it rests on, two sources that may share an origin. Something about the world belongs in the evidence above.

Claim edges

None. Edges are stored and displayed; v0.1 does not propagate probability across them.

Review checklist

Review checks: 1 of 4

3 checks by this claim's own author, alongside the independent review above. 1 OPPOSING EVIDENCE SEARCH · 1 QUALIFIER CHECK · 1 EVIDENCE VERIFICATION. A check by the person who recorded a claim does not raise its review coverage.

Check	Done	By
qualifiers reviewed	no
opposing search done	no
independence reviewed	no
primary source reviewed	yes	2939a271, ca560277, 45137521

Summary

Supported. The main support is: The channel analysis reports partial and heterogeneous mitigation by basic, higher, and vocational educational capacity. 805ff211

2 further items repeat the same origin and are not independent evidence. 87abd771825263b1

A search for evidence in the opposing direction found none. 157740cf

Review checks: 1 of 4. coverage:97c7fd75-1cac-81a6-a2d6-452e858a60c5

Generated by stub-v0.1; every sentence cites graph ids.

Contribution history

seq	event	detail
16569	APPENDED
16570	ACCEPT	AUTOMATIC_AFTER_VALIDATION
16579	LINK_EVIDENCE	by 1efd24fe (accepted)
16583	TASK_RESULT	by 1efd24fe (accepted)
16826	LINK_EVIDENCE	by 1efd24fe (accepted)

Score trace

{
  "claim": "97c7fd75-1cac-81a6-a2d6-452e858a60c5",
  "links": [
    {
      "kept": "aeb20c7d-b57b-85e2-85de-19c545137521",
      "link": "176b8f72-6f9f-8e57-a641-f4eb2939a271",
      "group": null,
      "reason": "dependent_strongest_only",
      "edition": "NAMED_OR_UNRELATED",
      "evidence": "6b3ae925-6358-87d3-a6a4-051d87abd771",
      "direction": "SUPPORT",
      "magnitude": "1.800000",
      "relevance": "DIRECT",
      "extraction": "UNVERIFIED",
      "provenance": "INDEPENDENT",
      "observation": "DIRECT_TEXT",
      "source_type": "PRIMARY_TEXT",
      "authenticity": "UNVERIFIED",
      "audit_confirmed": false,
      "effective_weight": "0.000000",
      "interpretive_steps": 0
    },
    {
      "kept": "aeb20c7d-b57b-85e2-85de-19c545137521",
      "link": "76cd10ca-47a2-83c7-a111-99ecca560277",
      "group": null,
      "reason": "dependent_strongest_only",
      "edition": "NAMED_OR_UNRELATED",
      "evidence": "50eaebb3-d769-8772-9918-2468825263b1",
      "direction": "SUPPORT",
      "magnitude": "1.800000",
      "relevance": "DIRECT",
      "extraction": "UNVERIFIED",
      "provenance": "INDEPENDENT",
      "observation": "DATASET_RESULT",
      "source_type": "PRIMARY_TEXT",
      "authenticity": "UNVERIFIED",
      "audit_confirmed": false,
      "effective_weight": "0.000000",
      "interpretive_steps": 0
    },
    {
      "link": "aeb20c7d-b57b-85e2-85de-19c545137521",
      "group": null,
      "edition": "NAMED_OR_UNRELATED",
      "evidence": "7b2981bf-1352-8f45-88a4-6867805ff211",
      "direction": "SUPPORT",
      "magnitude": "1.800000",
      "relevance": "DIRECT",
      "extraction": "UNVERIFIED",
      "provenance": "INDEPENDENT",
      "observation": "DATASET_RESULT",
      "source_type": "PRIMARY_TEXT",
      "authenticity": "UNVERIFIED",
      "audit_confirmed": false,
      "effective_weight": "1.800000",
      "interpretive_steps": 0
    }
  ],
  "model": "ledger-default@0.3.0",
  "prior": "0.50",
  "variants": {
    "spread": "0.1331",
    "permissive": "0.9121",
    "conservative": "0.7790"
  },
  "code_hash": "sha256:c61a6fdf35a754a0d7e958df149036a083c0eaeb7d2d2e52704ec32b0c36def7",
  "contested": false,
  "stability": "MEDIUM",
  "claim_type": "OBSERVATIONAL",
  "config_hash": "sha256:86768038080b8ab5233f1e4b7aba10af05b5bb44caa432095150b90e81209809",
  "probability": "0.8581",
  "provisional": true,
  "evidence_sum": "1.800000",
  "snapshot_seq": 16827,
  "prior_log_odds": "0.000000",
  "support_groups": 1,
  "model_dependent": false,
  "review_coverage": "0.25",
  "truth_evaluable": true,
  "assessment_state": "SUPPORTED",
  "review_checklist": {
    "qualifiers_reviewed": {
      "by": [],
      "ok": false
    },
    "opposing_search_done": {
      "by": [],
      "ok": false
    },
    "independence_reviewed": {
      "by": [],
      "ok": false
    },
    "primary_source_reviewed": {
      "by": [
        "176b8f72-6f9f-8e57-a641-f4eb2939a271",
        "76cd10ca-47a2-83c7-a111-99ecca560277",
        "aeb20c7d-b57b-85e2-85de-19c545137521"
      ],
      "ok": true
    }
  },
  "contradict_groups": 0,
  "rounding_boundary": false,
  "posterior_log_odds": "1.800000",
  "not_applicable_reason": null,
  "independence_unreviewed": 3
}