Gender and the formal and informal systems of local public finance in Sierra Leone
Bibliographic record
Abstract
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".