Women Political Participations: A Study of Nasarawa State from 1999 to 2022
Bibliographic record
Abstract
Gender equality is the 5th Sustainable Development Goals that aims at providing a necessary foundation for a peaceful, equal, prosperous and sustainable institutional participation for men and women alike globally. Despite local and international efforts by the concerned authorities, patriarchal discriminatory laws and social norms remain pervasive. As women continue to be under-represented at all levels of politics. This study tries to examine the level and status of women involvement in the politics of Nasarawa State from 1999 to 2022. These challenges make the female gender incapable of contributing their quarter to national development. The study relied on existing official record to elicit data such as National electoral Commission (INEC). Findings show that only 4% of women participated in the Federal House of Representative, 0% of women represented in Nasarawa state speakers, only 4% of women participated in the house of assembly, and most unfortunately, 0% participation in local government chairperson from 1992 to 2022. Among the 60 women interviewed on their perception on women participation in politics, 53% responded that they are not satisfied, 41% of the women responded that they are satisfied with the level of women participation in politics. The remaining 6% responded indifference. Reasons for poor women participation based on the outcome of the result in include traditional and spiritual discriminatory laws/practices that limit women participation in politics. Others are poverty, low educational attainment, social isolation, personal factors, stigma and discrimination, lack of role models and legal barriers. No doubt, the study concludes that there has been poor women representation Nasarawa state politics since 1999. The study recommends majorly that harmful traditional law/practices that halt women free participation in the society should be abolished through sustained sensitization to ensure women contribute their quota towards national development and achieving SDGs.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".