Peer Support and Youth Recovery: A Brief Review of the Theoretical Underpinnings and Evidence
Bibliographic record
Abstract
This article provides a brief review of the theoretical underpinnings and initial evidence regarding peer support, with a specific interest in peer support for youth with addiction and mental health illnesses. Peer support can be thought of in terms of supporting prevention of difficulties, often emphasizing naturalistic opportunities, or as a specific component of an intervention targeting individuals with identified difficulties. In addition, there are peer-led and peer-implemented treatment approaches that have been evaluated. This form of peer support involves an asymmetrical relationship whereby a trained worker, who has gone through the process of recovery, assists other individuals who are not as far along in their recovery. Interaction with peers who have lived experience is thought to offer hope and enhance motivation for individuals considering or attempting change. These different forms of peer support have all been shown to hold promise for improving clinical outcomes but the literature in general has been hampered by limitations in study methods and design. Future studies will need to address these historical challenges for the potential of peer support to enhance outcomes to be fully realized.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".