Chinese-language silicon-sample studies benchmarked against CGSS data find partial macro-level reproduction alongside representational bias, micro/macro/meso instability and cross-model differences; current systems do not warrant replacement of human respondents.

SocioLens project,

Claim LD07-HQ-C08 (v1.0)

Provenance and status

Claim type: Fact
Publication status: Eligible for publication, with a qualifier
Verification state: Checked against the primary source; cleared with a source-specific qualifier (recorded as “CLEARED WITH SOURCE-SPECIFIC QUALIFIER”). Who checked this claim is not recorded for it; claim checks so far were AI-led, and no person has checked claims against their sources.
Does not license: Causal claim that regulation produced bias; generalization to all Chinese topics
Limitations: One source only partly line-extracted; topic/wave-specific
Source (as cited): Gong & Huang, Academic Monthly 57(6):123–136 (2025); Ling & Cui, Journal of Intelligent Society 4(2):179–201 (2025)
Source type: Peer-reviewed journal article (recorded as “Peer-reviewed Chinese-language studies”)
Institutional position: Independent academic
Maturity of the evidence: Emerging evidence
Recorded date: 25 September 2026
Currentness / correction: This is the current version. No correction or concern is recorded on its sources.

Sources this version cites

Gong Weigang & Huang Siyuan, “整体事实还是有偏样本——基于大语言模型生成数据的测量,” Academic Monthly 57(6):123–136 (2025) (Peer-reviewed journal article)
Read the original
Ling Wanying & Cui Sizhan, “复现的限度——‘硅基样本’的可能与可为,” Journal of Intelligent Society 4(2):179–201 (2025) (Peer-reviewed journal article)
No checked link to the original yet.

Version

This page shows version v1.0. Its record never changes, even when newer evidence arrives; the site may add a note to the page or withhold a figure not cleared for public use.

This pinned version is also the current version.

Versions: v1.0 · current

Raw record: every recorded field, with its coded values

All 25 canonical Claim fields, verbatim, with the coded values derived from them. The plain-language labels above are read from these.

Claim type (coded): FACT (as printed: “FACT”)
Publication status (coded): ELIGIBLE (QUALIFIED) (as printed: “ELIGIBLE WITH QUALIFIER”)
Verification state (coded): CONTENT_VERIFIED_PRIMARY (SOURCE_SPECIFIC)
Source type (coded): PEER_REVIEWED_JOURNAL_ARTICLE
Maturity (coded): EMERGING

#	Canonical field	Canonical value (verbatim)	Normalized (Claim Value Vocabulary v1.0.2)
1	CLAIM ID	LD07-HQ-C08	—
2	PUBLIC-FACING CLAIM	Chinese-language silicon-sample studies benchmarked against CGSS data find partial macro-level reproduction alongside representational bias, micro/macro/meso instability and cross-model differences; current systems do not warrant replacement of human respondents.	—
3	CLAIM TYPE	FACT	base_types: FACT
4	RESEARCH STRAND	C/F	—
5	MATURITY	EMERGING	states: EMERGING
6	SOURCE	Gong & Huang, Academic Monthly 57(6):123–136 (2025); Ling & Cui, Journal of Intelligent Society 4(2):179–201 (2025)	source_ids: SRC-LD07-GONG-HUANG-CGSS-2025, SRC-LD07-LING-CUI-SILICON-SAMPLES-2025
7	SOURCE TYPE	Peer-reviewed Chinese-language studies	classes: PEER_REVIEWED_JOURNAL_ARTICLE
8	INSTITUTIONAL POSITION	Independent academic	—
9	SCOPE	Mainland China; CGSS 2021 and CGSS 2011/2021 health modules	—
10	DESIGN	Human survey vs silicon-sample comparison	—
11	SAMPLE / DATASET	CGSS waves; Gong/Huang journal full text reports 5,249 cleaned CGSS2021 respondents	—
12	MODEL / TOOL / VERSION	Gong/Huang full model details partially verified; Ling/Cui DeepSeek-v3, GPT-4o, Qwen-plus	—
13	COMPARATOR	Human CGSS respondents	—
14	MAIN RESULT	Some macro relations reproduce; marginal voices/representation distort; micro/macro/meso uncertainty; within- and cross-model differences	—
15	INFERENTIAL TARGET	Population attitudes and representation	—
16	DOES NOT LICENSE	Causal claim that regulation produced bias; generalization to all Chinese topics	—
17	VERIFICATION STATE	CLEARED WITH SOURCE-SPECIFIC QUALIFIER	state: CONTENT_VERIFIED_PRIMARY · qualifiers: SOURCE_SPECIFIC · verified_by: UNKNOWN
18	LIMITATIONS	One source only partly line-extracted; topic/wave-specific	—
19	CONTRADICTORY / SUPPORTING SOURCES	Xie multi-country/multi-dataset benchmark; Wang identity flattening	—
20	GEOGRAPHY / LANGUAGE	China / Chinese	—
21	DISTRIBUTIONAL LEDGER	Explicit concern with marginal voices	—
22	R01 / FIELD-MAP LINKS	D9, L-B, T1	—
23	WHAT WOULD CHANGE THIS CLAIM?	Independent locally grounded validation with subgroup and out-of-sample success	—
24	PUBLICATION STATUS	ELIGIBLE WITH QUALIFIER	state: ELIGIBLE · qualifiers: QUALIFIED
25	RECORDED DATE	2026-09-25	—

Field 22 references resolved against Field Map v0.2: D9 (DOMAIN); L-B (LENS); T1 (TENSION)

The sources as recorded, with their record IDs and coded source types:

Pinned Sources (field 6, version-specific)

“Gong & Huang, Academic Monthly 57(6):123–136 (2025)” → Gong Weigang & Huang Siyuan (2025), “整体事实还是有偏样本——基于大语言模型生成…” (SRC-LD07-GONG-HUANG-CGSS-2025--v1.0) — Gong Weigang & Huang Siyuan, “整体事实还是有偏样本——基于大语言模型生成数据的测量,” Academic Monthly 57(6):123–136 (2025); class PEER_REVIEWED_JOURNAL_ARTICLE (explicit public provenance pin)
“Ling & Cui, Journal of Intelligent Society 4(2):179–201 (2025)” → Ling Wanying & Cui Sizhan (2025), “复现的限度——‘硅基样本’的可能与可为” (SRC-LD07-LING-CUI-SILICON-SAMPLES-2025--v1.0) — Ling Wanying & Cui Sizhan, “复现的限度——‘硅基样本’的可能与可为,” Journal of Intelligent Society 4(2):179–201 (2025); class PEER_REVIEWED_JOURNAL_ARTICLE (explicit public provenance pin)

Cited by Living Debate versions

AI in the research apparatus (v0.1) LD-07
AI in the research apparatus (v0.2) LD-07

Cite this page

SocioLens project. (2026, September 25). Chinese-language silicon-sample studies benchmarked against CGSS data find partial macro-level reproduction alongside representational bias, micro/macro/meso instability and cross-model differences; current systems do not warrant replacement of human respondents [Claim LD07-HQ-C08, version v1.0]. SocioLens. https://sociolens-web.pages.dev/claims/ld07-hq-c08/v1.0/

@misc{sociolens_ld07_hq_c08_v1_0,
  author = {{SocioLens project}},
  title = {Chinese-language silicon-sample studies benchmarked against CGSS data find partial macro-level reproduction alongside representational bias, micro/macro/meso instability and cross-model differences; current systems do not warrant replacement of human respondents.},
  year = {2026},
  date = {2026-09-25},
  howpublished = {\url{https://sociolens-web.pages.dev/claims/ld07-hq-c08/v1.0/}},
  note = {Claim LD07-HQ-C08, version v1.0}
}

The link points to this version, whose record never changes. For a finding, cite the original study as well: SocioLens summarizes research and does not replace it.

Research-of-record provenance

Materialized by sociolens-materializer 0.6.0 at 2026-09-28T20:00:00.000Z; normalization contract SocioLens — Claim Value Vocabulary v1.0.2 — Pre-Spike Materialization Contract (v1.0.2). Content seal SHA-256 10139c0250275df1f63b65ff8278e519ebd84df53071812ae50e7935dfa770e0.

Frozen Drive-derived inputs

R03 — LD-07 Canonical Claim Ledger v1.0 — LOCKED (v1.0) — Drive ID 1xVz_LrQAA8EA1tPhVWIrDgOUU3Zidlg9; revision: NOT_EXPOSED_BY_DRIVE_TEXT_EXPORT; Drive modified 2026-09-29T04:31:14.120Z; block “ENTRY 08 — LD07-HQ-C08” SHA-256 e51fa2bbe0935891250b3227135e7404d4cdaca2d21407a1dbb9f1f5361042cb; SocioLens — Programme Status & Authority Register v0.6 status “CURRENT.”; frozen fixture fixtures/frozen/r03-ld07-claim-ledger-v1.0-canonical.

Builder decisions (not Drive data)

VERSION = v1.0 — basis: Claim version taken from the canonical ledger artifact version (R03 — LD-07 Canonical Claim Ledger v1.0); Implementation Architecture Selection §5
CURRENT_POINTER = true — basis: SocioLens — Programme Status & Authority Register v0.6 status for "R03 — LD-07 Canonical Claim Ledger v1.0 — LOCKED": "CURRENT."
FIELD_6_SOURCE_REFERENCE = SRC-LD07-GONG-HUANG-CGSS-2025--v1.0 — basis: field 6 of ENTRY 08 — LD07-HQ-C08 cites "Gong & Huang, Academic Monthly 57(6):123–136 (2025)"; the frozen field-6 segment of this ClaimVersion's ledger block; Drive-derived identity authority (Issue #39 Source inventory): Batch 02 §4; ledger C06/C08; KEY EVIDENCE.
FIELD_6_SOURCE_REFERENCE = SRC-LD07-LING-CUI-SILICON-SAMPLES-2025--v1.0 — basis: field 6 of ENTRY 08 — LD07-HQ-C08 cites "Ling & Cui, Journal of Intelligent Society 4(2):179–201 (2025)"; the frozen field-6 segment of this ClaimVersion's ledger block; Drive-derived identity authority (Issue #39 Source inventory): Batch 02 §5 (distinct study); ledger C06/C08; KEY EVIDENCE.
SOURCE_PROVENANCE_PIN = SRC-LD07-GONG-HUANG-CGSS-2025--v1.0 — basis: Issue #5 proof rendering (Architecture Proof Protocol v0.1 AP-08 / Amendment v1.2 §6): explicit version-pinned public provenance of this ClaimVersion — the pinned field-6 Source record "Gong & Huang, Academic Monthly 57(6):123–136 (2025)"; Drive-derived identity authority (Issue #39 Source inventory): Batch 02 §4; ledger C06/C08; KEY EVIDENCE.
SOURCE_PROVENANCE_PIN = SRC-LD07-LING-CUI-SILICON-SAMPLES-2025--v1.0 — basis: Issue #5 proof rendering (Architecture Proof Protocol v0.1 AP-08 / Amendment v1.2 §6): explicit version-pinned public provenance of this ClaimVersion — the pinned field-6 Source record "Ling & Cui, Journal of Intelligent Society 4(2):179–201 (2025)"; Drive-derived identity authority (Issue #39 Source inventory): Batch 02 §5 (distinct study); ledger C06/C08; KEY EVIDENCE.