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Record W4390666931 · doi:10.1017/asr.2023.100

The Mediation of Autocratic Regimes: How Local Officials Shaped Authoritarian Systems in Rwanda and Sudan

2024· article· en· W4390666931 on OpenAlex
Marie-Ève Desrosiers, Anne-Laure Mahé

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

VenueAfrican Studies Review · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Conflict and Governance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAuthoritarianismAutocracyGenocideMediationPolitical scienceArgument (complex analysis)State (computer science)Political economySociologyLawDemocracyMathematicsPolitics

Abstract

fetched live from OpenAlex

Abstract Local state officials impact authoritarian systems through the mediation they perform. Desrosiers and Mahé argue that these local functionaries fulfill a number of mediating functions, including translating and representing authoritarian systems at the local level. By enacting these two roles, however, local officials do not straightforwardly reproduce the system. Instead, their interpretations and choices fundamentally influence the imprint authoritarianism has on society, from how the regime is experienced at the local level to its groundings and resilience. They demonstrate this argument by looking at pre-genocide Rwanda and Sudan under President Omar al-Bashir.

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)0.002
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: Review · Consensus signal: none
Teacher disagreement score0.972
Threshold uncertainty score0.251

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.057
GPT teacher head0.361
Teacher spread0.304 · 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