Livelihoods Used by Street Children for Survival in Bamako, Mali
Bibliographic record
Abstract
<p>This study is based on the livelihood used by street children for survival in Bamako, Mali. Two bus stations were selected for this study: Sogoniko bus station and Medina bus station. Most buses leave from these stations to the vicinity of the country. Data was collected through individual interviews (one by one), focus group discussions and interviews. A sample of one hundred and twenty street children aged between 8 and 17 years were selected for this study. Thirty people were also selected to give their opinions on street children. The results indicate that most of street children survive by selling small objects and through begging, 32.5% and 22.50% respectively. Our survey indicates that there are different factors pushing them to the streets, and as a way of survival on the streets, there is need to be organized, hence, they are organize themselves into groups for protection against violence and aggressions.</p>
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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 | 0.000 | 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".