Helping schools support caregivers of youth who self-injure: Considerations and recommendations
Bibliographic record
Abstract
Non-suicidal self-injury (NSSI) is a significant international mental health concern, with consequences for not only youth who self-injure, but for their entire family system. Helping caregivers respond productively to their child’s self-injury is a vital part of effectively addressing NSSI. This paper will assist school-based mental health practitioners and other personnel support caregivers of youth who self-injure by reviewing current literature, highlighting common challenges faced by school-based professionals, and providing evidenced-informed recommendations for supporting caregivers of youth who self-injure. We posit that schools can best support caregivers by having clear and well-articulated self-injury protocols and by engaging caregivers early. Once engaged, helping caregivers to navigate first conversations, keep doors open, know what to expect, seek support for themselves and understand and address safety concerns will ultimately benefit youth who self-injure and the school systems that support them. We also review recommendations for working with youth whose caretakers are unwilling or unable to be engaged.
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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 | 0.018 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.006 | 0.011 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.011 | 0.010 |
| Insufficient payload (model declined to judge) | 0.012 | 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".