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Record W4313573194 · doi:10.1177/1097184x221149988

Pathways and Patterns for Communication with Intimate Partners: Men’s Retrospectives After a Relationship Breakdown

2023· article· en· W4313573194 on OpenAlexaffabout
John L. Oliffe, Mary T. Kelly, Gabriela Gonzalez Montaner, Zac E. Seidler, John S. Ogrodniczuk, David Kealy, Simon Rice

Bibliographic record

VenueMen and Masculinities · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsUniversity of British Columbia
FundersMovember Foundation
KeywordsFeelingPsychologySocial psychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

Effective communication is key to the quality of men’s intimate partner relationships. The current study examines men’s pathways and patterns for communication with intimate partners. Based on interviews with 47 Canadian and Australian participants (26–70-years-old; M = 40.87, SD = 10.59) who had experienced a relationship breakdown[s], three themes were derived: (a) Breaking through after breaking up, (b) Detailing deficiencies, and (c) Building skills and strategies. Breaking through after breaking up mapped men’s pathways in retrospectively evaluating and addressing their communication. Men’s self-work focussed on knowing themselves to more authentically communicate with partners. Detailing deficiencies included self-censoring characterized by men’s reticence to communicate their feelings for fear of conflict and/or the relationship ending. Building skills and strategies highlighted temporal dimensions of communication wherein men idealized regular formal check-ins with partners to discuss, and when necessary adjust the relationship. Connections between masculinities and men’s communication are discussed to guide tailored relationship programs for men.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.547

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 integrity0.0000.000
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 head0.056
GPT teacher head0.316
Teacher spread0.261 · 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 designQualitative
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
Published2023
Admission routes2
Has abstractyes

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