The Irony of Child Protection: A qualitative analysis of social workers and police officers’ challenges in supporting the rights of victims of child marriage
Bibliographic record
Abstract
Social workers and the police are key frontline workers providing intervention against the practice of child marriage. However, the challenges they experience have received little attention in the literature on child marriage. This paper seeks to contribute to emerging literature by exploring the challenges frontline workers face when intervening in a child marriage situation in Ghana. The study utilizes semi-structured interviews to collect data from six frontline workers and analyses the data thematically. The study found that frontline workers follow a common practice of prematurely reintegrating rescued victims back into the environment where child marriage is encouraged. This raises awareness of what we called the child protection irony which is inconsistent with the constitution and the child welfare policies in Ghana. As a result, the girls is left alone to battle their way out of child marriage while the perpetrators remain unpunished. The findings suggest a need for collaboration between child protection agencies to ensure that child welfare laws and resource allocations are implemented effectively to safeguard children’s rights.
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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 | 0.013 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".