Surviving on the periphery of society: Experiences of street children in Accra, Ghana
Bibliographic record
Abstract
Abstract Drawing on Bourdieu's theory of social fields, this article sought to answer two research questions: (a) what challenges do street children encounter on the streets? and (b) what survival strategies do these street children adopt to cope with street life? Thirty street children constituted the study's sample size. Data were gathered through in‐depth interviews and focus group discussions and were thematically analysed. It was found that street children encountered challenges including abuse, inadequate access to basic needs, stigmatization, and theft. This study also found that some street children resorted to their peer networks and intimate partners for protection, as well as for financial and material support. Additionally, some street children engaged in menial working jobs and in some cases, stealing and prostitution to fend for themselves. While these survival tactics were noted to be crucial in the lives of street children, this article recommends for the intensified implementation of state and non‐state interventions to help alter the unwholesome living conditions of these vulnerable 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".