A Strengths-Based Group Program on Self-Harm
Bibliographic record
Abstract
Every day in Queensland, Australia, student services within schools are responding to children who have deliberately self-injured. Although school nurses are in a prime position to effectively intervene, mitigate risk, and promote healthy self-caring behaviors, no programs that focus specifically on self-harm currently exist. This feasibility study of a program to assist young people find safer alternatives to self-harm canvassed opinions of 12 school nurses in secondary schools on the Sunshine Coast in 2009. Participants showed strong support and reported that the program was much needed; had an innovative, strengths-oriented approach; incorporated an essential training component; would likely be engaging for young people; and was in appropriate format. Perceived challenges to implementation included garnering support from the school community and educational stakeholders and recruiting young people most likely to benefit. Suggested changes included providing a youth-friendly name for the program and formalizing inclusion criteria to select appropriate group members.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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 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".