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Record W4311673446 · doi:10.1002/cpp.2818

A mixed methods investigation of reasons underlying fear of positive evaluation

2022· article· en· W4311673446 on OpenAlexafffund
Gillian A. Wilson, Bailee L. Malivoire, Stephanie E. Cassin, Martin M. Antony

Bibliographic record

VenueClinical Psychology & Psychotherapy · 2022
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsToronto Metropolitan University
FundersRyerson University
KeywordsPsychologyClinical psychologyDevelopmental psychologyCognitive psychology

Abstract

fetched live from OpenAlex

Fear of negative evaluation (FNE) is a hallmark feature of social anxiety disorder (SAD). There is also evidence that people with SAD fear receiving positive evaluation and that fear of positive evaluation (FPE) is distinct from FNE. However, researchers have speculated that concerns related to negative evaluation may actually underlie FPE. This study sought to advance our understanding of FPE by employing both quantitative and qualitative methods to assess the reasons underlying participants' endorsement of FPE on the Fear of Positive Evaluation Scale and the extent to which these reasons reflect FNE versus FPE in a sample of individuals with SAD (n = 47) and a nonclinical comparison group (n = 49). Results indicated that responses to the FPES items primarily reflected an underlying FNE. Consistent with contemporary cognitive-behavioural theories of SAD, fear of proximal or eventual negative judgement emerged as the most common reason for participants' responses on the FPES. However, participants reported other reasons that did not reflect FNE, such as fear of hurting people's feelings and uncertainty associated with positive evaluation. All of the reasons underlying participants' ratings on the FPES were reported by both the SAD group and the nonclinical comparison group; however, individuals with SAD endorsed each of the reasons to a greater extent. These findings suggest that the FPES does not exclusively assess FPE as intended; however, the emergence and endorsement of reasons other than FNE suggest that FPE exists as a distinct construct.

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 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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.813
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.397
GPT teacher head0.586
Teacher spread0.190 · 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 teacher head, not a consensus.

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

Citations8
Published2022
Admission routes2
Has abstractyes

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