Supporting children and youth during the COVID-19 pandemic and beyond: A rights-centred approach
Bibliographic record
Abstract
The COVID-19 pandemic is an unprecedented global crisis, affecting millions globally and in Canada. While efforts to limit the spread of the infection and 'flatten the curve' may buffer children and youth from acute illness, these public health measures may worsen existing inequities for those living on the margins of society. In this commentary, we highlight current and potential long-term impacts of COVID-19 on children and youth centring on the UN Convention of the Rights of the Child (UNCRC), with special attention to the accumulated toxic stress for those in difficult social circumstances. By taking responsive action, providers can promote optimal child and youth health and well-being, now and in the future, through adopting social history screening, flexible care models, a child/youth-centred approach to "essential" services, and continual advocacy for the rights of children and youth.
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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 | 0.019 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.026 |
| Scholarly communication | 0.011 | 0.013 |
| Open science | 0.005 | 0.011 |
| Research integrity | 0.025 | 0.038 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".