Unwanted humans: Pathways to the street and risky behaviors for girls in Côte d’Ivoire
Bibliographic record
Abstract
A number of previous research and nongovernmental organization (NGO) reports have documented rural-to-urban migration trends of adolescent girls seeking work in sub-Saharan Africa. Unfortunately, many of these girls end up living on the street. This study examined factors that lead many of these girls in Côte d’Ivoire to become homeless and at risk for exploitation. We found that more than two thirds of those interviewed had been brought to the city by a relative or other significant adult to work as domestic workers, but many ended up on the street and exploited for commercial sex. The rural-born girls reported a higher level of abuse and risky sexual behavior than those raised in the city. Amidst broken promises for schooling support, narratives also uncovered a link between domestic work and abuse, and limited family support that marginalized girls and young women. More research is needed to understand the challenges and experiences of adolescents living on the street. Countries with high rural-to-urban migration must develop an alternative protection system that supports life-skill development to protect them from the risks of living on the street.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".