MétaCan
Menu
Back to cohort
Record W2340625752 · doi:10.1080/1556035x.2015.1132400

Understanding the Role of Group Cohesion and Group Alliance in a Secular Peer Support Group for Recovery from Substance Misuse

2016· article· en· W2340625752 on OpenAlexaff
Alina Sotskova, Erica M. Woodin

Bibliographic record

VenueJournal of Groups in Addiction & Recovery · 2016
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsSt Joseph's Health CareUniversity of VictoriaWestern University
Fundersnot available
KeywordsAllianceGroup (periodic table)Group cohesivenessPsychologySubstance useCohesion (chemistry)Social psychologyClinical psychologyPolitical science

Abstract

fetched live from OpenAlex

This study aimed to understand the role of group cohesion and alliance in LifeRing, a secular peer support group for substance misuse. Correlational analyses of quantitative data and content analysis of qualitative data from 50 participants assessed (a) the relationship between group cohesion, alliance with the meeting convenor, and active participation in the group; (b) the associations among group cohesion, alliance with the meeting convenor, and satisfaction with the group; and (c) what participants found helpful about LifeRing. Group cohesion was significantly associated with active group participation while convenor alliance was significantly associated with group satisfaction.

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)0.005
metaresearch head score (Gemma)0.016
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 score0.005
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.004
Open science0.0010.003
Research integrity0.0010.001
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 head0.031
GPT teacher head0.277
Teacher spread0.246 · 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

Citations13
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Groups in Addiction & RecoverySame topicCannabis and Cannabinoid ResearchFrench-language works237,207