Resilience among Black Children and Youth in Canada and the United States: A Scoping Review Protocol
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it