Child Fostering or Child Trafficking: Questioning Justifications for Children’s Departure from Home
Bibliographic record
Abstract
West African countries adopt child fostering or kinship placement as a traditional form of social protection that balances care and support for families with limited resources, experiencing unforeseen setbacks; or requiring household support. The traditional kinship placement advocates the provision of nurturing and education for the child by the fostering family. However, the traditional kinship placement appears exploited with children taken away from their homes, by such familiar persons as relatives and family friends, who may or may not fulfill the traditional expectations of fostering. The aftermath is that based on the mistreatment experienced by several children, they are removed from their kinship placement and placed in agency care as survivors of trafficking. This again prompts the question of whether children removed from kinship placement should be considered trafficked children. This paper explores this situation by presenting the experiences of some children in kinship placement in Nigeria. Children’s narratives within the paper will provide a further understanding of how child fostering or placement could transform into child trafficking that will inform services provided to affected children.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.012 | 0.016 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".