Institutionnaliser l’autonomisation des femmes au Nigeria: Les contributions du ministère fédéral de la Condition féminine au développement durable
Bibliographic record
Abstract
Women empowerment is an indicator of social change and an important goal in achieving sustainable development worldwide (United Nations n.d.). Historically and across nations until today, men have had greater access to power and resources and more socio-politico-economic opportunities. In Nigeria, the plights of women are becoming more appalling as men are properly positioned to benefit and advance professionally and socially. Women in Nigeria need to be empowered because their contributions to national development is far too significant to be ignored. While literature abounds on women empowerment in Nigeria, there is a dearth of research on the contributions of the Federal Ministry of Women Affairs and Social Development (FMWASD) to women empowerment. It is against this background that this article examines the contributions of the FMWASD to sustainable development in Nigeria through its various women empowerment efforts from 2011-2021. This work is expected to contribute to the efforts to raise public and government attention to the need to foster women’s agency and for the government to be able to deliver on its mandate.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".