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Record W2312365090 · doi:10.1037/per0000101

Emotional reactivity to social rejection versus a frustration induction among persons with borderline personality features.

2015· article· en· W2312365090 on OpenAlexafffund
Alexander L. Chapman, Katherine L. Dixon–Gordon, Sean Butler, Kristy N. Walters

Bibliographic record

VenuePersonality Disorders Theory Research and Treatment · 2015
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsSimon Fraser University
FundersSocial Sciences and Humanities Research Council of CanadaMichael Smith Health Research BC
KeywordsShamePsychologyAngerReactivity (psychology)HostilityPersonalityStressorContext (archaeology)Social rejectionSocial inhibitionDevelopmental psychologySocial relationSocial psychologyClinical psychologyAnxietySocial anxietyPsychiatry

Abstract

fetched live from OpenAlex

This laboratory study examined the emotional reactivity of persons with heightened borderline personality (BP) features to a social rejection stressor. Participants with high levels of BP features (n = 43) and controls with low levels of BP features (n = 67) were randomly assigned to a condition involving negative evaluation and social rejection based on personal characteristics, or to a condition involving a frustrating arithmetic task and negative evaluation based on performance. Hypotheses were that the high-BP individuals would demonstrate greater increases in negative emotions, shame, and anger in response to the social rejection/negative evaluation stressor, compared with the frustrating arithmetic task. The high-BP group showed significant increases in negative emotions in both conditions, significant increases in shame only in the frustrating arithmetic task, and significant increases in hostility only in the social rejection condition. In contrast, low-BP controls showed significant increases in negative emotions generally in the frustrating arithmetic condition and shame specifically in the social rejection condition. These findings highlight the emotion and context-specific nature of emotional reactivity in relation to BP features.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.590
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.116
GPT teacher head0.405
Teacher spread0.289 · 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

Citations40
Published2015
Admission routes2
Has abstractyes

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