Building Black community accountability in child welfare: Provincial contexts and Black service provider experiences across three jurisdictions
Bibliographic record
Abstract
The disproportionate representation of Black children in Canadian child welfare systems has spurred significant scrutiny and calls for reform. This study examines the crucial role of Black service providers in Ontario, Quebec, and Alberta in fostering Black community accountability within child welfare. Through focus groups tailored to each jurisdiction, Black service providers working in and adjacent to the child welfare system identified three distinct models of community accountability shaped by provincial contexts. Key themes of race and anti-Black racism, advocacy for Black families, and the complexities of navigating child welfare systems permeated each model. Across all regions, there was a resounding call for increased Black community autonomy in designing and delivering services for Black families, coupled with a desire for federal legislation to enable self-determination and governance of child welfare. The findings underscore the urgent need for a child welfare system that empowers Black communities to address racial disparities more effectively and respond to the protection and service needs of Black children, youth, and families. • Three models of Black community accountability in child welfare emerge across Ontario, Quebec, and Alberta's distinct contexts. • Black service providers discuss challenges and strategies to address systemic racism and imporve outcomes for Black families. • Anti-Racist, culturally adapted services promote community empowerment, self-governance, and accountability in child welfare. • Policyreformsmust empower Black communities and address inequities with federal legislation needed to support these efforts.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".