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Record W4236829621 · doi:10.1111/jomf.12544

The Development of Willingness to Sacrifice and Unmitigated Communion in Intimate Partnerships

2018· article· en· W4236829621 on OpenAlexafffund
Matthew D. Johnson, Rebecca M. Horne, Franz J. Neyer

Bibliographic record

VenueJournal of Marriage and the Family · 2018
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSacrificeSocial psychologyPsychologyPerspective (graphical)Construct (python library)GermanDevelopmental psychologyTheologyGeography

Abstract

fetched live from OpenAlex

Objective: This study examined developmental trajectories of willingness to sacrifice and unmitigated communion, or putting a partner's needs above one's own to the exclusion of the self. Background: Willingness to sacrifice and unmitigated communion have proven important for personal and relationship well‐being, but no prior research has sought to understand their developmental trajectories or the factors that motivate growth in each. We draw from a relational developmental systems perspective to explore these questions. Method: Latent growth curve analyses of German Family Panel data from 3,405 focal participants and their partners surveyed across seven years were used to answer the research questions. Results: Findings revealed each construct followed a declining curvilinear pattern with much variability underlying average trajectories. Women, those with more prior partnerships, and those in longer‐term relationships were less willing to sacrifice and had lower unmitigated communion at baseline. Participants were more willing to sacrifice when participants were more committed and more insecure in their partner's love. Unmitigated communion was higher when they were more committed, when they and their partners were happier with the union, and when household income was lower. Conclusion: Willingness to sacrifice and unmitigated communion develop in response to sociodemographics, personal history, and both partners' relationship cognitions.

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)0.000
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 score0.454
Threshold uncertainty score0.165

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.044
GPT teacher head0.372
Teacher spread0.328 · 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

Citations9
Published2018
Admission routes2
Has abstractyes

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