Vulnerability of Nigerian Secondary School to Human Sex Trafficking in\nNigeria
Bibliographic record
Abstract
Sex trafficking contributes to the cycle of violence against women, and\ninflicts global social and health consequences, particularly in this\nera of HIV/AIDS pandemic. This paper is based on a cross-sectional\nsurvey conducted in two urban and two rural schools located in Delta\nand Edo states of Nigeria. The aim is to assess in-school\nstudents’ knowledge and awareness of, and attitude toward sex\ntrafficking as a way to understanding their personal vulnerability to\ntrafficking. A semi-structured questionnaire was administered in\n2004-2005 to a classroom random sample of 689 adolescents in the age\nrange of 16-20 years. The results show that in-school adolescents are\nvulnerable to sex trafficking due to poverty (77.2%); unemployment\n(68.4%); illiteracy (56.1%); and low social status (44.5%). Students in\nco-ed schools showed higher knowledge and awareness of the serious\nhealth consequences of trafficking (Afr J Reprod Health 2009;\n13[2]:33-48).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".