Street Children in Akwa Ibom State, Nigeria: Br Beyond Economic Reason
Bibliographic record
Abstract
THE PHENOMENON OF street children has become a global problem. There are as many reasons for being on the street as there are street children. In Nigeria, as in many developing countries, there is a general belief amongst scholars that children “abandon” their families and migrate to the street because of economic poverty. These scholars argue that children whose basic material needs cannot be met within the household move to the street. This paper examines this argument through the analysis of detailed empirical research with street children in Akwa Ibom State, South-South, Nigeria. It found that social factors such as the belief in child witchcraft lie behind most street migration and, in particular, that moves to the street are closely associated with violence to, and abuse of, children within the household and local community. These findings are consistent with the wider literature on street migration from other countries. The paper suggested that in Nigeria, those who seek to reduce the flow of children to the streets need to focus on social policy, especially on how to reduce the excessive control and emotional, physical and sexual violence that occurs in some households. Economic growth and reductions in income poverty will be helpful, but they will not be sufficient to reduce street migration by children in Akwa Ibom State in particular and Nigeria generally.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".