Child and adolescent self-harm in a pandemic world: Evidence from a decade of data
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
BACKGROUND Little is known about the COVID-19 pandemic impact on child and adolescent mental health, specifically self-harm. This paper serves to form a basis for understanding and planning an appropriate response to the present and longstanding child and adolescent mental health needs with global recommendations for integrated community support and disaster preparedness. METHODS Anonymous, aggregated data from an established regional child and adolescent addictions and mental health service was employed to examine differences in the rates of self-harm as the primary reason for referral among the health-seeking population represented by quarter by year since 2010 to examine whether self-harm rates have increased since the onset of the COVID-19 pandemic. RESULTS Female rates of self-harm referral were greater than male rates. Neither male nor female quarterly rates of total or first-time self-harm referrals exceeded the highest quarterly rates since 2010. DISCUSSION Since the COVID-19 pandemic, self-harm rates in one Canadian region remain stable and lower than the highest rates observed over the last decade. Given misplaced alarmist news and reports, a coherent, evidence-based, dynamic national response to mental health, social support, and disaster planning is required to fully understand how best to respond to the pandemic in general with a sustainable social support and disaster preparedness policy strategy and specifically the ongoing and pandemic-related mental health needs of the child and adolescent help-seeking population.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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