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Record W2196125200 · doi:10.1521/jscp.2015.34.6.508

Does Alcohol Reduce Social Anxiety in Daily Life? A 22-Day Experience Sampling Study

2015· article· en· W2196125200 on OpenAlex
Susan R. Battista, Sean P. Mackinnon, Simon Sherry, Sean P. Barrett, Parnell Davis MacNevin, Sherry H. Stewart

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

VenueJournal of Social and Clinical Psychology · 2015
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPsychologyAnxietyAlcoholExperience sampling methodSocial anxietyAlcohol consumptionAlcohol intakeDevelopmental psychologyClinical psychologyTrait anxietySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

To explain the co-occurrence of social anxiety and alcohol use problems, researchers have used experimental methods to test whether alcohol reduces state social anxiety (SSA) in the lab. The present study used experience sampling to extend research into real world settings. Students (N = 132; 100 women; 32 men; aged 17 to 32 years) reported their SSA and alcohol intake 6 times from 4:00 pm to 4:00 am every day for 22 days. Multilevel modeling suggested for each alcoholic drink consumed, SSA decreased by 4.0% two hours later. Those with greater levels of trait social anxiety (TSA) experienced higher SSA than those with lower levels of TSA. Findings support predictions made by tension reduction theory—that alcohol reduces SSA in daily life. These results extend many lab-based findings to the real world and provide further evidence that alcohol may provide negative reinforcement for those who are experiencing social anxiety.

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)0.003
metaresearch head score (Gemma)0.002
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 score0.145
Threshold uncertainty score0.928

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.321
GPT teacher head0.549
Teacher spread0.228 · 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