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.
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 | 0.002 | 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) | 0.000 | 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".