Wealth and Employment Creation among Women in Idah Local Government Area of Kogi State,Nigeria CRÉATION DE LA RICHESSE ET DES EMPLOIS CHEZ LES FEMMES DANS LE GOUVERNEMENT LOCAL D'IDAH, DANS LA ZONE DE L'ÉTAT DE KOGI, NIGÉRIA
Bibliographic record
Abstract
In the last four decades, Nigeria has been confronted with variegated problems-widespread poverty, political violence, corruption, natural disasters, HIV/AIDS scourge, various endemic diseases, communal clashes, unemployment, strikes, poor government performance, etc. Underlying these concerns is the need to create wealth and employment as a means of addressing some of the challenges facing youths, women and men. Thus, this paper focuses on wealth and employment creation among women in Idah Local Government Area of Kogi State. It argues that with the right enabling environment created by government, private/public partnership, training and affirmative action wealth and employment creation is a distinct possibility. Creating wealth and employment among women will help curb social vices like prostitution, crime, violence, theft, armed robbery. Key words: wealth; employment; creation; women Resume: Au cours des quatre dernieres decennies, le Nigeria a ete confronte a des problemes varies - la pauvrete generalisee, la violence politique, la corruption, les catastrophes naturelles, le VIH / sida fleau, de diverses maladies endemiques, les conflits intercommunautaires, le chomage, les greves, de faibles performances gouvernementales etc. Sous-jacent a ces preoccupations est la necessite de creer de la richesse et des emplois comme un moyen de s'attaquer a certains de ces defis auxquels sont confrontes les jeunes, les femmes et les hommes. Ainsi, ce document met l'accent sur la richesse et la creation d'emplois chez les femmes dans le gouvernement local d’Idah, dans la zone de l'Etat de Kogi. Creer de la richesse et l'emploi chez les femmes contribueront a lutter contre les fleaux sociaux comme la prostitution, la criminalite, la violence, le vol et le bricandage a main armee. Mots-Cles: richesse; employ; creation; femmes
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".