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Conflicting Pressures on Romantic Relationship Commitment for Anxiously Attached Individuals

2010· article· en· W1852842847 on OpenAlexaff
Samantha Joel, Geoff MacDonald, Atsushi Shimotomai

Bibliographic record

VenueJournal of Personality · 2010
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyAmbivalenceRomanceSocial psychologyExtant taxonRelation (database)Developmental psychologyPsychoanalysis

Abstract

fetched live from OpenAlex

Anxious attachment predicts strong desires for intimacy and stability in romantic relationships, yet the relation between anxious attachment and romantic commitment is unclear. We propose that extant literature has failed to find a consistent relation because anxiously attached individuals experience conflicting pressures on commitment. Data from Australia (N=137) show that relationship satisfaction and felt security each act as suppressors of a positive relation between anxious attachment and commitment. Data from Japan (N=159) replicate the suppression effect of felt security and also demonstrate that the residual positive relation between anxious attachment and commitment can be partly explained by dependence on the partner. These findings suggest that anxiously attached individuals may be ambivalent about commitment. Dissatisfaction and worries about negative evaluation appear to exert downward pressure on commitment, counteracting the upward pressure that is exerted by factors such as relational dependency.

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)0.005
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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.064
GPT teacher head0.464
Teacher spread0.400 · 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

Citations79
Published2010
Admission routes1
Has abstractyes

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