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Record W4231835531 · doi:10.32920/ryerson.14643978.v1

"If Only I Didn't Embarrass Myself in Front of the Class!" Social Anxiety and Upward Counterfactual Thinking

2021· preprint· en· W4231835531 on OpenAlexaff
Jennifer Monforton

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsUniversity of WindsorToronto Metropolitan UniversitySystems, Applications & Products in Data Processing (Canada)
Fundersnot available
KeywordsCounterfactual thinkingPsychologyAnxietySocial anxietySample (material)Social psychologyPhysicsPsychiatry

Abstract

fetched live from OpenAlex

This study examined the relationship between social anxiety (SA) and the generation of upward counterfactual thoughts (U-CFT; ―if only...‖ thoughts imagining better outcomes to past events). U-CFT has been associated with negative affect and with social anxiety in past research (e.g., Kocovski et al., 2005). Participants (n= 89) were randomly assigned to generate U-CFT in response to a controllable or uncontrollable social-evaluative scenario. When comparing those with extreme SA scores, those higher in SA generated a greater number of upward as compared with downward CFTs. A significant positive correlation between SA and U-CFT was found when examining subsets of the sample (i.e., those in the controllable scenario, students). Potential mediators between SA and CFT were examined. Postevent Processing emerged as the only significant mediator (among students only). There was no evidence of maladaptive CFT (i.e., in response to the uncontrollable scenario only) within subsets or the sample as a whole.

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)0.006
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.029
GPT teacher head0.323
Teacher spread0.294 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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