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Record W3011089423 · doi:10.1177/0738894220906374

Public opinion, international reputation, and audience costs in an authoritarian regime

2020· article· en· W3011089423 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

VenueConflict Management and Peace Science · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAuthoritarianismReputationPublic opinionScholarshipChinaPolitical scienceGovernment (linguistics)Public relationsState (computer science)Political economyPublic administrationSociologyDemocracyLawPolitics

Abstract

fetched live from OpenAlex

Does the public in authoritarian regimes disapprove of their leaders’ backing down from public threats and commitments? Answers to this question provide a critical micro-foundation for the emerging scholarship on authoritarian audience costs. We investigate this question by implementing a series of survey experiments in China, a single-party authoritarian state. Findings based on responses from 5375 Chinese adults show that empty threats and commitments expose the Chinese government to substantial disapproval from citizens concerned about potential damage to China’s international reputation. Additional qualitative evidence reveals that Chinese citizens are willing to express their discontent of leaders’ foreign policy blunders through various channels. These findings contribute to the ongoing debate over whether and how domestic audiences can make commitments credible in authoritarian states.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.826
Threshold uncertainty score0.428

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.108
GPT teacher head0.362
Teacher spread0.254 · 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