Strengthening family relationships for Black youth-in-care in Ontario, Canada
Bibliographic record
Abstract
Background Extant literature confirms that when youth are removed from their families, they experience disrupted relationships with parents, siblings, and friends and disconnections from their neighbourhoods and schools. Objective The study objective was to explore the changes in Black youth’s family relationships while in care. Participants and Setting We completed the study in partnership with one child welfare service in Southwestern Ontario. This agency was an ideal setting because of its demonstrated commitment to the creation of culturally responsive processes and spaces, with an established collaborative relationship with African, Black, and Caribbean (ACB) communities. Methods This qualitative study garnered critical insights from 12 in-depth, semi-structured interviews with 13 participants comprised of children service staff, caregivers, and youth (14 years and older) on services that support Black children’s wellbeing with respect to family relationships. Findings The study showed youth expressing different feelings regarding family relationships – some revealed love for their mothers while others struggled with how to manage the ongoing contacts with their families. Child welfare staff and caregivers indicated awareness that it is traumatic for children and youth to come into care. They also recognized that empathy was not enough and made several suggestions to improve services for youth. Conclusions With respect to family relationships, findings led to the following two suggested insights for practitioners to consider about its services while supporting Black youth-in-care: 1) the need to integrate a race-informed trauma lens towards Black youth-in-care and their families; and 2) building stronger relationships with youths’ biological families.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".