MétaCan
Menu
Back to cohort
Record W2140556697 · doi:10.1037/1089-2699.11.1.31

Group alcohol climate, alcohol consumption, and student performance.

2007· article· en· W2140556697 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGroup Dynamics Theory Research and Practice · 2007
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAlcoholAlcohol consumptionPsychologyMultilevel modelConsumption (sociology)Social psychologyEnvironmental healthMedicineSociologyMathematicsChemistry

Abstract

fetched live from OpenAlex

This study explored the relationship between group norms for drinking and two indicators of student performance. Based on data from 96 undergraduate students (mean age 22 years) living in 21 student houses, the multilevel hypotheses that (a) house alcohol climate is associated with student alcohol consumption, (b) student alcohol consumption is associated with student withdrawal behavior (i.e., absence from class), and (c) that student alcohol consumption mediates the link between house alcohol climate and student withdrawal behavior are supported. No link between student alcohol consumption and student academic performance (i.e., average grades) was found. Similarly, there was no empirical support for the hypothesis that house cohesion would moderate the relationship between house alcohol climate and student alcohol consumption. Implications for future research are discussed.

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score0.692

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.088
GPT teacher head0.429
Teacher spread0.340 · 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