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Record W4406470317 · doi:10.1111/pere.12591

We Were Meant to be: Do Implicit Theories of Relationships and Perceived Partner Fit Help Explain Post‐Relationship Contact and Tracking Behaviors Following a Breakup?

2025· article· en· W4406470317 on OpenAlexaff
Ashley E. Thompson, Katie Gooch, Rachel M. Willhite, Lucia F. O’Sullivan

Bibliographic record

VenuePersonal Relationships · 2025
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsPsychologyBreakupSocial psychologyTracking (education)

Abstract

fetched live from OpenAlex

ABSTRACT Those experiencing relationship termination often report using efforts to contact and/or track their ex‐partner, frequently with the intent of re‐establishing connection. Implicit beliefs about relationships as being predestined (destiny beliefs) or requiring cultivation for success (growth beliefs) appear to be linked to concepts of partner fit and attempts to re‐establish connection. Combining findings across four studies, this mixed‐methods research explored how beliefs about relationships and perceptions of partner fit were linked to post‐relationship contact and tracking (PRCT). Study 1 demonstrated that stronger endorsement of destiny (but not growth) beliefs was linked to recall of higher levels of PRCT. Study 2 replicated these findings and indicated that partner fit moderated the link between destiny beliefs and PRCT. Using an experimental design, Studies 3 and 4 showed it was possible to manipulate anticipated use of PRCT, particularly destiny beliefs. This work adds information to our understanding of how relationship beliefs impact adjustment following relationship loss, with implications for those supporting individuals in distress and highlighting the possibility of altering destiny beliefs to improve adjustment.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.063
GPT teacher head0.383
Teacher spread0.320 · 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.

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

Citations2
Published2025
Admission routes1
Has abstractyes

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