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Record W4410889281 · doi:10.1111/1467-9566.70052

Running and Stumbling to Recovery: A Carnal Sociological Study of Change in Substance Use

2025· article· en· W4410889281 on OpenAlexafffundabout
Stéphanie Bogue Kerr, Nicolas Moreau

Bibliographic record

VenueSociology of Health & Illness · 2025
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsUniversity of Ottawa
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHabitusDisconnectionAddictionSociologyPsychologySubstance useContrast (vision)Social psychologySocial scienceClinical psychologyPolitical scienceComputer sciencePsychiatry

Abstract

fetched live from OpenAlex

Evidence suggests that exercise may be an effective adjunct to recovery processes associated with addiction; however, little research has been conducted outside clinical settings. This article is based on a Canadian carnal sociological study that investigated the evolution of the runner's habitus amongst 11 individuals in recovery from addiction through mobile methods, specifically running interviews, with data deductively analysed through conceptual categories. Running offered a lifestyle structure that supported a nonlinear healing process, fostering connections that stood in stark contrast to the disconnection that had previously characterised their lives. Findings suggest that running may offer an organising structure for those seeking to alter their use of substances, though perhaps specifically amongst those with previous histories of exercise.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.503
Threshold uncertainty score1.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0160.023
Scholarly communication0.0030.002
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.320
GPT teacher head0.494
Teacher spread0.173 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2025
Admission routes3
Has abstractyes

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