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Record W2926092690 · doi:10.1017/gov.2019.7

Autocracies and the Control of Societal Organizations

2019· article· en· W2926092690 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

VenueGovernment and Opposition · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Conflict and Governance
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsAutocracyAuthoritarianismPolitical scienceDissentPoliticsState (computer science)Political economyPublic relationsCivil societyEconomic systemSociologyEconomicsLaw

Abstract

fetched live from OpenAlex

Abstract Authoritarian regimes seek to prevent formal and informal organizations in society from engaging in mobilized dissent. What strategies do they use to do so, and what explains their choices? I posit that state actors in autocracies use four mechanisms to control societal organizations: repression, coercion, cooptation and containment. How they control these organizations depends on whether they think they might undermine political stability. Two factors inform that assessment. First is whether state actors think societal organizations’ interests are reconcilable with regime resilience. Second is whether groups are in national or international networks that are either cohesive or incohesive. While the irreconcilability of interests influences state actors’ perceptions of groups as subversive, network cohesion shapes organizations’ capacity for large-scale mobilization.

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)0.000
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 score0.942
Threshold uncertainty score0.110

Codex and Gemma teacher scores by category

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

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 head0.005
GPT teacher head0.233
Teacher spread0.229 · 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