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Record W2103201857 · doi:10.5127/jep.011110

An Experimental Investigation of Factors Involved in Excessive Reassurance Seeking: The Effects of Perceived Threat, Responsibility and Ambiguity on Compulsive Urges and Anxiety

2011· article· en· W2103201857 on OpenAlexafffund
Chris L. Parrish, Adam S. Radomsky

Bibliographic record

VenueJournal of Experimental Psychopathology · 2011
Typearticle
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsConcordia University
FundersCanadian Institutes of Health Research
KeywordsPsychologyAmbiguityAnxietyCognitionAnxiety disorderClinical psychologySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

Excessive reassurance seeking is a common problem among individuals diagnosed with Obsessive-Compulsive Disorder (OCD). Given the proposed functional similarities between OCD-related reassurance seeking and compulsive checking (Rachman, 2002), it was hypothesized that some of the factors contributing to the onset and maintenance of episodes of these two behaviours might be shared, whereas other factors (e.g., ambiguity of feedback) may play a unique role in the persistence of reassurance seeking. The current experiment examined how manipulations of threat, responsibility, and ambiguity of feedback impacted upon non-clinical participants' (N = 176) anxiety and compulsive urges (to seek reassurance and to check) in a series of experimental vignettes. Consistent with hypotheses, higher levels of perceived threat, responsibility and ambiguity of feedback were associated with higher anxiety and compulsive urges. Results are discussed in terms of cognitive-behavioural models of, and treatments for OCD.

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)0.007
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
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 head0.024
GPT teacher head0.320
Teacher spread0.295 · 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

Citations35
Published2011
Admission routes2
Has abstractyes

Explore more

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