Child protection agencies collaborating with grass-root community organizations: partnership or tokenism?
Bibliographic record
Abstract
Cross-sector collaborations are increasingly being relied upon to improve accessibility of prevention and support services for marginalized communities reported to the child protection system. However, little is known about the feasibility, implementation, and impact of such collaborations. This study begins to address this gap by describing the challenges faced by a child protection agency and community organization who partnered to reduce the overrepresentation of Black children reported to the child protection agency through implementation of a parenting support program. Six semi-structured interviews were conducted with all members of a stakeholder committee, representing both the child protection agency and community organization. Critical race theory (CRT) informed the qualitative approach. Three major themes were identified demonstrating how the child protection agency’s organizational context, lack of socio-political support and organizational culture posed significant implementation challenges for the partnership. These findings raise important considerations for cross-sector collaborations aiming to reduce overrepresentation and racial disparity within child protection systems.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".