Bibliographic record
Abstract
The vulnerability of women and girls in Northern Nigeria is likened to an ‘endangered species’ that struggles daily to survive. That region of the country is notorious in negativities: poverty, illiteracy, unemployment, insecurity and now, blatant abuse of health and reproductive rights of women and girls. This article, hence, exposes the precarity that pervades the region and highlights the factors above i.e., poverty, illiteracy, unemployment etc., and how women and girls have been made escape goats by the socio-cultural, economic and religious establishment in Northern Nigeria. Using statistics and scholarly findings of researchers and literature, the article articulates these factors, which include but not limited to, abuse of the health and reproductive right of women and girls, illiteracy and early marriage and insecurity. The article concludes by calling the government of Nigeria to treat the condition of women and girls in the Northeast as an emergency, by setting up structures headed by or headed by shared leadership roles of women, that will investigate their situations and proffer solutions. An Empowerment Education Fund should be created to provide accessibility for compulsory primary, secondary and even tertiary education to the girl child in Northern Nigeria.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".