“Shared experience makes this all possible”: documenting the guiding principles of peer-led services for people released from prison
Bibliographic record
Abstract
BACKGROUND: There is a growing body of evidence demonstrating the effectiveness of peer-led services in supporting community reintegration for people released from prison. This study aims to document the guiding principle of a peer-led service for people released from prison, from the perspective of peer mentors. METHODS: Data were collected using focus groups (N = 10; 2 groups with 5 participants each) and one-on-one interviews (N = 5) including a total of 13 people, representing all UTGSS staff at the time of the study. An inductive thematic analysis was used to identify patterns in the data. Initial coding was done by using "in-vivo" codes (i.e. applying codes to terms used by participants). This informed the direction of the next stage of analysis, which focused on identifying categories that synthesized the codes and data across transcripts. In this stage, broad themes and sub-themes were developed. FINDINGS: Six themes were constructed to reflect the guiding principles of UTGSS staff. This includes four central themes: 1) Offering hope; 2) Building respectful relationships; 3) Providing consistent support; 4) Meeting people where they are at. Two connected themes are also reported: 1) Relying on shared experience, which participants reported serves as the foundation for practicing these guiding principles and 2) Bridging connections to services, which reflects the outcome of practicing these guiding principles. CONCLUSION: The principles identified in this study can be used by UTGSS staff as a guide for checking-in on progress with clients and may be considered as a model for reflection on practice by staff providing similar peer-led services. These principles should not be applied in a prescriptive way, as relationship building is at the centre of peer support, and different applications will be required depending on clients' goals and the range of supports available within their community.
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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 | 0.076 | 0.068 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.017 | 0.031 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.006 | 0.018 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".