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Record W2021770585 · doi:10.1177/0265407510397988

A dyadic approach to the study of romantic attachment, dyadic empathy, and psychological partner aggression

2011· article· en· W2021770585 on OpenAlexaff
Katherine Péloquin, Marie‐France Lafontaine, Audrey Brassard

Bibliographic record

VenueJournal of Social and Personal Relationships · 2011
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversité de SherbrookeUniversity of Ottawa
Fundersnot available
KeywordsPsychologyEmpathyAggressionInterpersonal Reactivity IndexIntrapersonal communicationPerspective-takingDevelopmental psychologyAbandonment (legal)Social psychologyAttachment theoryInterpersonal communicationAnxietyRomanceEmpathic concern

Abstract

fetched live from OpenAlex

This study examined the intrapersonal, dyadic, and mediational relationships underlying romantic attachment (Experiences in Close Relationships), dyadic empathy (Interpersonal Reactivity Index for Couples), and psychological partner aggression (Revised Conflict Tactics Scales) in 193 community-based couples. In women, attachment insecurity predicted lower dyadic empathy and greater psychological aggression. In men, attachment insecurity predicted lower perspective taking, higher empathic concern, and greater psychological aggression. Partner effects were found for men, with their attachment predicting their female partner’s dyadic empathy and psychological aggression. In women, low perspective taking mediated the relationship between: (1) their anxiety over abandonment and their psychological aggression; and (2) their avoidance of intimacy and their psychological aggression. Findings are consistent with the attachment theory and clinical implications are discussed.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.158
Threshold uncertainty score0.416

Codex and Gemma teacher scores by category

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

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 head0.207
GPT teacher head0.424
Teacher spread0.218 · 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.

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

Citations94
Published2011
Admission routes1
Has abstractyes

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