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Record W3137751412 · doi:10.33921/wleh2260

Attachment Anxiety as a Barrier to the Benefits of Novel Couple Activities

2017· article· en· W3137751412 on OpenAlexvenueno aff
Adrienne A. Paynter, Cheryl Harasymchuk

Bibliographic record

VenueJournal of Interpersonal Relations Intergroup Relations and Identity · 2017
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyPsychologySocial psychologyRomanceAttachment theoryDevelopmental psychologyPsychoanalysis

Abstract

fetched live from OpenAlex

Novel and exciting couple activities have been found to increase satisfaction in couples (e.g., Aron, Norman, Aron, McKenna, & Heyman, 2000), but only if both members enjoy the exciting activity (Girme, Overall, & Faingataa, 2014). We hypothesized that attachment anxiety might thwart the enjoyment and effectiveness of novel couple activities because of perceived threats to the security of the relationship. Undergraduate students (N = 154) who were in a romantic relationship completed online questionnaires. Consistent with our hypothesis, higher attachment anxiety was associated with decreased couple enjoyment (as perceived by the participant). However, contrary to our hypotheses, higher attachment anxiety was not associated with greater willingness to engage in an unappealing partner-initiated novel couple activity, or with decreased perceived benefits to the relationship. Furthermore, consistent with our guiding hypothesis, in exploratory analyses, we found that people who scored higher on attachment anxiety were more likely to be motivated to engage in the unappealing partner-initiated novel couple activity because of threat-related concerns.

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 score0.306
Threshold uncertainty score0.808

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 communication0.0000.001
Open science0.0010.000
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 head0.025
GPT teacher head0.386
Teacher spread0.361 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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