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Record W2942137218 · doi:10.25384/sage.c.4479734.v2

Building impartial electoral management? Institutional design, independence and electoral integrity

2019· article· en· W2942137218 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

VenueSage Journals Data · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Conflict and Governance
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsIndependence (probability theory)Law and economicsPolitical scienceBusinessPublic relationsPublic administrationPublic economicsPolitical economyEconomics

Abstract

fetched live from OpenAlex

Electoral integrity is a persistent concern in both established and transitional democracies. Independent Electoral Management Bodies (EMBs) have been championed as a key institutional reform measure to strengthen electoral integrity and are now the most common model of electoral management worldwide. Yet, empirical research has found conflicting evidence on the link between formal EMB independence and electoral integrity. We argue that conflicting findings might be driven by the lack of detailed data on EMB institutional design, with most studies using rudimentary classifications of ‘independent’, ‘governmental’ and ‘mixed’ EMBs, without addressing specific dimensions of EMB formal independence such as appointment procedures, budgetary control and formal competences. In this paper we analyse new detailed data on EMB institutional design in 72 countries around the world, develop a more detailed typology of dimensions of de jure EMB independence, and demonstrate how de jure EMB independence affects de facto EMB independence and electoral integrity.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.106
GPT teacher head0.395
Teacher spread0.289 · 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