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Record W2101798753 · doi:10.7202/012138ar

Développement et validation d’un questionnaire mesurant le soutien social en situation d’anxiété auprès d’une population universitaire

2006· article· fr· W2101798753 on OpenAlexaffvenue
Édith St-Jean-Trudel, Stéphane Guay, André Marchand, Kieron O’Connor

Bibliographic record

VenueSanté mentale au Québec · 2006
Typearticle
Languagefr
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPsychologySocial supportAnxietyPopulationClinical psychologyDistressSocial psychologyPsychiatrySociologyDemography

Abstract

fetched live from OpenAlex

A new measure of the social support specifically intended for anxiety disorders has been elaborated ; this new scale entitled "Questionnaire sur les Comportements de Soutien en situation d'Anxiété" (QCSA ; Guay et al., 2003) consists of 65 items measuring positive and negative perceived social support. Among a sample of 257 university students, the QCSA shows good psychometric properties (internal consistency and correlations with related constructs). Results of an exploratory factor analysis identified three factors : 1) criticism and coercive strategies, 2) anxiety management and reinforcement, and 3) distraction. Significant correlations were found with measures of anxiety, functioning and psychological distress. The QCSA is an adequate scale to evaluate social support in relation to mental health.

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)0.021
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.021
GPT teacher head0.342
Teacher spread0.320 · 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 designBench or experimental
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

Citations17
Published2006
Admission routes2
Has abstractyes

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