Understanding the Health and Well-being of Canadian Black Children and Youth during the COVID-19 pandemic: A Review
Bibliographic record
Abstract
The COVID-19 pandemic has exacerbated health inequities and vulnerabilities in our society, with the Black population being disproportionately affected. As previous pandemics have resulted in an increase in adverse events to children and youth, we reviewed the literature to examine the impact of the COVID-19 pandemic on Black children and youth. We found Black children and youth experience psychosocial stressors related to uncertainties of the future. Differential gender effects related to COVID-19 are also apparent. Physical distancing related to the COVID-19 pandemic which resulted in differential impacts on physical activity levels in children. We also noted, increase levels of isolation may result in undetected child abuse. The review highlights the urgent need for multifaceted interventions that address disparities in social determinants of health and psychosocial needs of Black children and youth in Canada. Future research that addresses the effects of the COVID-19 pandemic on Black children and youth is needed to help create context-specific interventions.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".