Religion as an Ideological Weapon and the Feminisation of Culture in Nigeria: A Critical Analysis of the Textuality of Violence Through the Legal Regulation of Child Marriages
Bibliographic record
Abstract
The problem of child marriages has been discussed at length. Some authors have analysed the Nigerian legal framework to provide appropriate strategies for addressing this problem. Building on the important foundational works of these authors, my paper analyses this problem from a different perspective by focusing on the ideological foundations for the increased perpetration of child marriages. I use institutional ethnography, a feminist socio-legal methodology by Dorothy Smith to show that the problem of cultural violence against girls, as seen in the practice of child marriages, is not in the culture but in the manner in which the social, political and legal environment is developed to only meet the needs of the dominant class. This methodology requires conducting an empirical investigation, which goes beyond the limits of this paper. For now, I use the tool of textuality adopted by Smith to reveal the organising power of texts and make visible how activities in local settings are coordinated and managed extra-locally. The paper focuses on the actions of those acting within the institutional process and shows how the ruling relations in Nigeria as a whole, and more specifically the Northern region, both rely on and determine the girl child's everyday experience.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.029 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".