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Record W2556756576 · doi:10.1177/0265407516677060

Negative affective reaction to partner’s dominant behavior influences satisfaction with romantic relationship

2016· article· en· W2556756576 on OpenAlexaff
Gentiana Sadikaj, D. S. Moskowitz, David C. Zuroff

Bibliographic record

VenueJournal of Social and Personal Relationships · 2016
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychologySocial psychologyAutonomyRomanceDominance (genetics)Affect (linguistics)Developmental psychologyChemistryCommunication

Abstract

fetched live from OpenAlex

Dominant behavior has been related to lower quality romantic relationships. The present study examined two processes through which dominant behavior affects the quality of romantic relationships: (1) the extent to which the partner’s dominance increases the person’s negative affect by thwarting the person’s sense of autonomy and (2) the degree to which the person’s negative affect in reaction to the partner’s dominant behavior affects relationship satisfaction. Using an event-contingent recording (ECR) methodology, 92 cohabiting couples reported their dominant behavior, negative affect, and autonomy in interactions with each other during 20 days. Relationship satisfaction was measured at the end of the ECR period. The results indicated that when a partner engages in dominant behavior, the person experiences greater negative affect in part due to a sense of thwarted autonomy and that greater negative affective reaction in association with the partner’s dominant behavior is related to lower relationship satisfaction in the person.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.059
GPT teacher head0.387
Teacher spread0.328 · 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 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

Citations29
Published2016
Admission routes1
Has abstractyes

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