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Record W1989726144 · doi:10.1080/16506070902767613

Exploring the Effect of Alcohol on Post-Event Processing Specific to a Social Event

2009· article· en· W1989726144 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.

Bibliographic record

VenueCognitive Behaviour Therapy · 2009
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsSocial anxietyPsychologyRuminationAnxietyClinical psychologyTraitEvent (particle physics)Developmental psychologyAlcohol use disorderAlcohol consumptionCognitionAlcoholPsychiatryComputer science

Abstract

fetched live from OpenAlex

Inconsistent findings regarding the relationship between social anxiety and alcohol use suggest that further research is needed to explore how alcohol affects various components of social anxiety. Post-event processing, or rumination after social events, is an element of cognitive models of social anxiety that is related to increased levels of social anxiety. The goal of the current study was to explore the interrelationships among social anxiety, post-event processing, and alcohol use. A sample of 208 university students completed online questionnaires to assess their levels of trait social anxiety and trait depression as well as their alcohol consumption at a specific social event. Participants then completed questionnaires to assess levels of post-event processing specific to the social event they attended. Results revealed that the amount of alcohol individuals consumed at the event predicted increased levels of post-event processing above and beyond levels of trait social anxiety and depression. As such, drinking may lead to increased post-event processing in student samples.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.956
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.136
GPT teacher head0.404
Teacher spread0.268 · 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