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Record W2935758252 · doi:10.3917/polaf.151.0061

Gender and the formal and informal systems of local public finance in Sierra Leone

2019· article· fr· W2935758252 on OpenAlex
Vanessa van den Boogaard

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

VenuePolitique africaine · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPolitical scienceSierra leoneHumanitiesPublicsSociologyPhilosophyEthnologyPolitics

Abstract

fetched live from OpenAlex

Cet article s’intéresse aux rapports différenciés des hommes et des femmes de l’Est et du Nord de la Sierra Leone à la collecte des taxes formelles et informelles. Il fait valoir que la littérature sur la fiscalité et l’égalité entre les sexes dans les pays à faible revenu doit accorder plus d’attention aux modalités réelles de financement des services publics par les citoyens. Il montre que la fiscalité formelle touche une proportion très réduite de la population, et en particulier de la population féminine. Dans les faits, les femmes participent le plus souvent au financement des services publics locaux par le biais de contributions informelles. Cette réalité va de pair avec un renforcement des inégalités entre les sexes, en raison des effets de la fiscalité sur la distribution du pouvoir au sein des ménages d’une part, et de la réduction induite des opportunités de représentation politique d’autre part.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.906
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
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 head0.071
GPT teacher head0.327
Teacher spread0.257 · 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