Resilience among Black Children and Youth in Canada and the United States: A Scoping Review Protocol
Bibliographic record
Abstract
Black children and youth face systemic discrimination and racism that negatively affect their well-being. Despite this, they often demonstrate resilience, yet existing research largely focuses on challenges rather than strengths. This scoping review aims to identify and synthesize evidence on factors that facilitate or hinder resilience among Black children and youth in Canada and the United States. Using Arksey and O’Malley’s scoping review framework and PRISMA-ScR guidelines, we are searching multiple databases, including CINAHL, OVID Medline, ERIC, and PsycINFO. We will also include relevant gray literature. Screening is currently underway. The review will identify knowledge gaps and challenge deficit-based narratives by highlighting strengths that support resilience among Black children and youth. The findings will inform future research, policy, and practice in both countries.
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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 | 0.072 | 0.070 |
| Meta-epidemiology (narrow) | 0.003 | 0.005 |
| Meta-epidemiology (broad) | 0.010 | 0.010 |
| Bibliometrics | 0.026 | 0.022 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.045 | 0.006 |
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".