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Record W2135020018 · doi:10.1017/s1352465802004046

THE SOCIAL BASIS OF WORRY IN THREE SAMPLES: HIGH-SCHOOL STUDENTS, UNIVERSITY STUDENTS, AND OLDER ADULTS

2002· article· en· W2135020018 on OpenAlexaff
Robert Ladouceur, Mark H. Freeston, Sarah Fournier, Michel J. Dugas, Céline Doucet

Bibliographic record

VenueBehavioural and Cognitive Psychotherapy · 2002
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsConcordia UniversityInstitut universitaire en santé mentale de MontréalUniversité Laval
Fundersnot available
KeywordsWorryPsychologyComorbidityAnxietySocial anxietyClinical psychologyAnxiety disorderGeneralized anxiety disorderDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

Comorbidity data between Generalized Anxiety Disorder (GAD) and Social Phobia, studies of frequently reported worry themes, and various correlational studies have led to the idea that worries may have a social basis. This study investigates the social basis of worry in three samples with different ages. The samples consisted of 224 high-school students, 607 undergraduate students, and 125 older adults. All participants completed the Worry Domains Questionnaire (WDQ) and the Penn State Worry Questionnaire (PSWQ). We hypothesized that for each sample, the first factor extracted following factor analysis on WDQ items would reflect the most social content, and that social-related factors would be the best predictors of the global tendency to worry as measured by the PSWQ. Results supported the hypotheses with the exception of older adults, for whom the first extracted factor was not as obviously social as for the other two samples. Possible explanations are considered and theoretical and clinical implications 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.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.333
Teacher spread0.288 · 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

Citations20
Published2002
Admission routes1
Has abstractyes

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