Child Development, Major Disruptive Events—Public Health Implications
Bibliographic record
Abstract
Abstract The COVID-19 pandemic has upended nearly all the safeguarding systems in the lives of children and youth, such as family life, school, extracurricular activities, sports, unstructured social opportunities, health care, and church. With many of the typical promotive and protective factors disrupted all at once, and for so long, the mental health of children and youth has deteriorated in many areas, but not all, and for many children and youth, but not all. It is important to acknowledge, however, that the mental health of children and youth was in crisis before the pandemic, with 1 in 7 children and youth worldwide having a mental disorder. Given the continued decline in this area of health, children and youth may well be on the cusp of a “generational catastrophe” that could involve lasting harms if immediate action is not taken. Of particular concern are marginalized and vulnerable children and youth—they are the ones unduly enduring the brunt of this global crisis. Accordingly, child and youth mental health recovery must be prioritized, along with the reduction of inequity within and across countries. A commitment to public health strategies that never include harming children and youth as a tolerated side effect must also be made.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.040 | 0.002 |
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".