Street Children: Implication on Mental Health and the Future of West Africa
Bibliographic record
Abstract
Background: Street life is a common sight among children in Africa including Nigeria. Distressed, hungry and poorly groomed children can be seen roaming the streets in search for means of survival from well-wishers and passersby. Poverty, cultural practices and religious belief have been cited as being responsible for such problems. The study aimed at determining the sociodemographic factors responsible for children being on the streets. It also seeks to establish the mental health effects of children being on the streets. Two questionnaires were designed by the researchers to collect information about respondents. One hundred and seven (107) of these children were interviewed. The study revealed the predominance of male children (91.6%), children from Islamic background (85.0%) whose parents were involved in unskilled jobs (72.0%). A statistically significant relationship was observed between street life and sociodemographic factors. Over four-fifth of the children have faced various forms of physical, sexual, emotional abuse with about three-quarter involved with alcohol and other drugs. In conclusion, the study revealed that poverty, low family income and large family sizes were responsible for children being on the streets.
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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 | 0.000 | 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 | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".