Self-Harm Among Adolescents with Developmental Disabilities: What Are They Trying to Tell Us?
Bibliographic record
Abstract
Self-harm behavior exhibited by adolescents with developmental disabilities can be the most challenging behavior for caregivers and health care professionals to address. Past interventions have taken a behavioral approach and focused on functional analysis to guide assessment and treatment. However, self-harm behavior is becoming more recognized as a means of communication. Therefore, it is important for health care professionals and caregivers to listen to adolescents' attempts to communicate and try to understand the meaning of the behavior. Early assessment is crucial to understanding the meaning of the behavior, and early intervention is necessary to prevent escalation or chronicity. Thorough assessment guides interventions and must be implemented in the context of clients' families and social world, and the broader community. Establishment of trusting relationships among adolescents, their families, and health care professionals is imperative. This article discusses self-harm behavior from a psychosocial perspective related to prevalence, onset, purpose, maintenance, and escalation. It also introduces a comprehensive framework to guide assessment and intervention.
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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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".