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Record W4417167376 · doi:10.1080/01609513.2025.2602092

Arts-based support group for people who use drugs: a low-barrier, harm reduction approach

2025· article· en· W4417167376 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSocial Work With Groups · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsDalhousie UniversitySaskatchewan Science CentreSaskatchewan Ministry of AgricultureUniversity of SaskatchewanUniversity of Regina
FundersSaskatchewan Health Research Foundation
KeywordsHarm reductionHarmSupport groupGroup (periodic table)Reduction (mathematics)Social support

Abstract

fetched live from OpenAlex

Support groups are commonly accessed for substance use issues, but primarily discourage or disallow active substance use during the group process. Employing community-based participatory research, we offered a low-barrier support group for people who use drugs, where sobriety was neither mandated nor encouraged, from a liberatory harm reduction and dislocation theory perspective. Facilitator session reports and participant artwork were analyzed to derive three themes and six sub-themes. Storytelling as a Site of Healing and Resistance explores subthemes of voicing lived experience and bearing witness to one’s story. Peer-Led Learning explores the subthemes of collective knowledge sharing and the consciousness-raising process. Environmental and Bodily Safety explores subthemes of flexible engagement and art as a tool for grounding. By examining the dynamics of a low-barrier, harm reduction support group for people who use drugs, this article offers a rare empirical contribution to an area that remains otherwise underexplored.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.797
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.285
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it