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Record W4361195676 · doi:10.1080/23311886.2023.2194731

Openness of political structures and gender gaps in protest behaviour in Africa

2023· article· en· W4361195676 on OpenAlex
Eugene Emeka Dim

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

VenueCogent Social Sciences · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoliticsOpenness to experienceContext (archaeology)Agency (philosophy)Political sciencePolitical economyPolitical opportunityPolitical communicationGender gapDevelopment economicsSociologySocial movementSocial psychologyDemographic economicsPsychologySocial scienceEconomicsLaw

Abstract

fetched live from OpenAlex

Protest behaviour has been conceptualized as a high-risk form of political engagement, and it tends to elicit a relatively lower engagement rate than other forms of political participation. In Africa, the risky nature of protests is often complicated by the predominant socio-cultural bias and masculine political norms that hinder women’s political agency. Many of these political systems in Africa are emerging democracies, where women are likely to be marginalized in the civic and political sphere. Using the Afrobarometer data of 2014/2015, this study seeks to examine the impact of the political context on the gender gap in protest behaviour. The study finds that the gender gap in protest behaviour is lower in countries that are politically free and higher in countries with more years of military regimes. These findings offer valuable insights into the political and institutional contexts in which women’s protest behaviour is accentuated and diminished.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.452
Threshold uncertainty score0.999

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 studies0.0000.001
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 head0.152
GPT teacher head0.418
Teacher spread0.267 · 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