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Record W3014030218 · doi:10.1177/0265407520911202

Broadening your horizon one day at a time: Relationship goals and exciting activities as daily antecedents of relational self-expansion

2020· article· en· W3014030218 on OpenAlexafffund
Cheryl Harasymchuk, Amy Muise, Chantal Bacev-Giles, Judith Gere, Emily A. Impett

Bibliographic record

VenueJournal of Social and Personal Relationships · 2020
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of TorontoYork UniversityCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyPerspective (graphical)RomanceSocial psychologyDevelopmental psychologyActivities of daily living

Abstract

fetched live from OpenAlex

Self-expansion in intimate relationships (i.e., broadening one’s perspective through engaging in novel, exciting activities with a partner) has been associated with relationship benefits. The goal of this study was to propose a motivational model of self-expansion to understand what prompts people to engage in self-expanding activities in their relationship on a daily basis. We hypothesized that when people report stronger daily approach relationship goals (i.e., goals focused on pursuing growth, intimacy, and rewards), they would report a greater likelihood of engaging in novel, exciting activities that enhance self-expansion and ultimately promote greater satisfaction in romantic relationships. To test our model, we recruited 122 couples for a 3-week daily diary study. In support of our hypotheses, on days when people (or their partners) reported higher than their usual approach relationship goals, they reported higher relational self-expansion, which was due, in part, to a greater likelihood of engaging in novel, exciting activities with the partner. In turn, higher relational self-expansion was associated with higher daily relationship satisfaction. Our findings have implications for understanding what promotes relationship growth on a day-to-day basis and the outcomes of daily approach-oriented relationship goals.

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 score0.089
Threshold uncertainty score0.840

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)0.0010.000

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 head0.089
GPT teacher head0.361
Teacher spread0.273 · 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

Citations28
Published2020
Admission routes2
Has abstractyes

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