MétaCan
Menu
Back to cohort
Record W2071414542 · doi:10.2190/8ywv-ra4m-cg9n-tb5r

Stress, Emotion, and Coping Strategies as Predictors of Personality Disorder Pathology

2000· article· en· W2071414542 on OpenAlex
David Watson, Birendra K. Sinha

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueImagination Cognition and Personality · 2000
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychologyCoping (psychology)PersonalityClinical psychologyPersonality pathologyAvoidance copingMaladaptive copingPerceptionPersonality disordersSocial psychologyNeuroscience

Abstract

fetched live from OpenAlex

The utility of coping strategies, stress, and emotion as predictors of personality disorder pathology was examined by exposing subjects to a set of stressful scenarios. It was predicted that personality disorder (PD) would be associated with less adaptive coping strategies, higher stress, low control, and low perception of coping efficacy. In general, the results indicated strong correlations between PD and the coping strategies of escape-avoidance and accepting responsibility and weak or negative associations with the problem-solving and positive reappraisal strategies. Personality disorder was associated with stress, negative emotions, and low control/efficacy. The coping/emotion profiles are useful in elaborating and discriminating similarities and differences between PDs.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.259
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.000

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 head0.017
GPT teacher head0.318
Teacher spread0.301 · 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