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Context and the relationship between social anxiety and urge to drink

2007· article· en· W36838469 on OpenAlexfundno aff
Tracey A. Garcia, Lindsay S. Ham

Bibliographic record

VenueMicroorganisms · 2007
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsnot available
FundersWestern Economic Diversification Canada
KeywordsAnxietyPsychologyContext (archaeology)Social psychologySocial anxietyDevelopmental psychologyHistoryPsychiatry

Abstract

fetched live from OpenAlex

The study investigated how the type of social context (i.e., a) social interaction and b) speech challenge) affected the strength of the relationship between state social anxiety (SSA) and urge to drink (i.e., the subjective desire to drink; UTD) in women. The sample included 74 women (78% Hispanic; Mage =20.63; SD = 2.21). The participants completed both a and b “social task challenges” (STC) using a within-subjects design. Participants reported SSA level (as indicated by the Subjective Units of Discomfort on a scale from 0 -100) and their UTD (subjective desire to drink on a scale of 0 -100) in anticipation of the STC, during the STC, and after the STC. In both conditions, SSA and UTD were positively correlated at all time points. Contrary to hypotheses, type of STC did not moderate the relationship between SSA and UTD. Implications for early prevention of hazardous alcohol use are discussed, as is this research study’s findings In regards to current literature.

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)0.000
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.044
GPT teacher head0.341
Teacher spread0.297 · 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

Citations1
Published2007
Admission routes1
Has abstractyes

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