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Record W4387546158 · doi:10.15195/v10.a25

Institutional Survival under Extreme State Repression and Subsequent Revival

2023· article· en· W4387546158 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSociological Science · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicItaly: Economic History and Contemporary Issues
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsPsychological repressionState (computer science)Political scienceEconomicsCriminologyPsychologyComputer scienceChemistry

Abstract

fetched live from OpenAlex

This study examines institutional survival under conditions of extreme state repression.We argue that institutional values under these conditions become dormant in small "safe" social spaces such as families and small close-knit social groups.As state repression becomes increasingly violent, the suppressed groups within those spaces become more resilient in preserving "deviant" values and mitigating the negative long-term impact of state violence on institutional revival.We examine the extent to which pre-1949 entrepreneurial families served as institutional carriers for private entrepreneurship in the Mao era of China, especially in the context of the political violence of the Cultural Revolution (1966)(1967)(1968)(1969)(1970)(1971)(1972)(1973)(1974)(1975)(1976), and shaped individuals' entry into private entrepreneurship in the post-1978 reform era.We find that entrepreneurial transmission was suppressed at the family level by communist repression.Where more severe political violence occurred, pre-1949 entrepreneurial families could better mitigate the deterrent effect on institutional revival of the number of deaths that occurred locally during the Cultural Revolution.Stigmatized pre-1949 entrepreneurial families-those with "bad" class origins-mitigated the effects better than their nonstigmatized counterparts.We test to control for public sector job opportunities at the individual and municipal levels and find that these opportunities are unlikely to drive our results.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score0.905

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.194
GPT teacher head0.279
Teacher spread0.085 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it