MétaCan
Menu
Back to cohort
Record W1890141858 · doi:10.4137/sart.s22464

Impact Evaluation of an Addiction Intervention Program in a Quebec Prison

2015· article· en· W1890141858 on OpenAlexaffabout
Catherine Arseneault, Marc Alain, Chantal Plourde, Francine Ferland, Nadine Blanchette-Martin, Michel Rousseau

Bibliographic record

VenueSubstance Abuse Research and Treatment · 2015
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsQuebec Rehabilitation Research NetworkCentre Intégré de Santé et Services Sociaux de Chaudière-AppalacheUniversité du Québec à Trois-RivièresCentre Jeunesse de Quebec
FundersMinistry of Public Security of the People's Republic of China
KeywordsPrisonImpulsivityIntervention (counseling)AddictionPsychologyClinical psychologyDistressPsychiatryCriminology

Abstract

fetched live from OpenAlex

OBJECTIVES: This study evaluates the effects of a prison-based addiction intervention program. The evaluation is based on a multidimensional data collection that draws a portrait of the respondents' substance use, and of their psychological/emotional, social, and judicial spheres. It measures the changes, or lack thereof, in substance use; the psychological/emotional, social, and judicial spheres; as well as the post-treatment services used. METHOD: A quasi-experimental repeated measures design (0, 6 weeks, and 6 months) was used. Effects of the program were identified by comparing the results obtained by a group of inmates who had participated in the program (n = 80; experimental group) with those of another group who had received no intervention (n = 70; control group). RESULTS: The preliminary results suggested a certain treatment effect related to impulsivity and psychological distress. CONCLUSION: Although the preliminary results were promising, the experimental and control groups did not differ significantly when more robust analyses were used.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score0.580

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.184
GPT teacher head0.476
Teacher spread0.293 · 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 designObservational
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

Citations6
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueSubstance Abuse Research and TreatmentSame topicSubstance Abuse Treatment and OutcomesFrench-language works237,207