Bibliographic record
Abstract
The objective of this paper is to examine the cultural factors inhibiting the participation of women in electoral politics in Enugu North Senatorial Zone of Enugu state.This is because global patriarchy has given ascendancy to men in politics, authority and decision-making in and outside the family.Under such a male-centred system without a female face, women lack access to politics and decision-making and are highly under-represented at most levels of government.This paper analyses marginalization of women in decisionmaking and the challenges encountered by female politicians on their way to political participation in Nigeria.It also, contends that the power relations that have prevented women from political activism operate in many levels of society, from the most personal to the highly public.It argues that the gender uneven electoral politics in Nigeria is as a result of men' majority in the political party hierarchy, which places them at a vantage position to influence party's internal politics in terms of selecting or electing candidates for electrons, and political patronage .The paper notes that socio-cultural, economic, political, organizational, legal and political factors have combined to shape the "home-centred' perception of Nigerian women ,and explains the level of participation of women in political and bureaucratic decision-making positions.Data for the study were drawn mainly from primary and such as interview, focus group discussion and secondary sources like journals, textbooks, government and other official publications among others.To reverse the historical under-represented Enugu North Senatorial Zone women in politics, and decision-making in governance, the paper proposes a triad strategy for women disempowerment in the zone.First, is a women friendly legal framework in which affirmative action principles are incorporated into the Nigerian Constitution and Electoral Act.Second, is exhibition of positive role modeling for gender image laundering by the few women in top political and administrative positions .Third, is the advancement of women' agenda and support of party activities as well as funding of women who are actively seeking political offices as a mechanism for addressing the imbalances and injustices against Nigerian women.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.961 | 0.959 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".