MétaCan
Menu
Back to cohort
Record W3087973552 · doi:10.1177/0265407520961178

Approach and avoidance motives for touch are predicted by attachment and predict daily relationship well-being

2020· article· en· W3087973552 on OpenAlexafffund
Brett K. Jakubiak, Anik Debrot, James J. Kim, Emily A. Impett

Bibliographic record

VenueJournal of Social and Personal Relationships · 2020
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of TorontoWestern University
FundersSocial Sciences and Humanities Research Council of CanadaSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsPsychologyAmbivalenceSocial psychologyIntervention (counseling)AnxietyDevelopmental psychology

Abstract

fetched live from OpenAlex

Research suggests that touch promotes relationship well-being but has failed to consider motives for touch. We assessed general (Study 1) and daily (Study 2) approach and avoidance motives for touch and tested their precursors and consequences. Controlling for relationship quality and the other motive, greater attachment avoidance predicted lower approach and greater avoidance motives for touch in general but did not predict motives in daily life. Greater attachment anxiety simultaneously predicted greater approach and avoidance motives for touch in both studies suggesting anxiously attached people have ambivalent motives for touch. Critically, one’s own and one’s partner’s approach motives for touch predicted greater daily relationship well-being, whereas own and partner avoidance motives predicted poorer daily relationship well-being. We observed indirect effects linking attachment insecurity to relationship well-being through daily motives for touch. These results underscore the importance of attending to touch motives in future work, including future intervention work.

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)0.000
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 score0.041
Threshold uncertainty score0.672

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.054
GPT teacher head0.342
Teacher spread0.288 · 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

Citations17
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Social and Personal RelationshipsSame topicAttachment and Relationship DynamicsFrench-language works237,207