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Record W2481463792 · doi:10.1111/pere.12141

Shifting expectations of partners' responsiveness changes outcomes of conflict discussions

2016· article· en· W2481463792 on OpenAlexaff
Denise C. Marigold, Joanna E. Anderson

Bibliographic record

VenuePersonal Relationships · 2016
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsDefence Research and Development Canada
Fundersnot available
KeywordsCognitive reframingPsychologyIntervention (counseling)Social psychologyConflict resolutionValue (mathematics)SociologyPsychiatry

Abstract

fetched live from OpenAlex

Abstract Expecting responsiveness from a partner may increase the chance of successful conflict resolution through a self‐fulfilling prophecy. Such expectations derive in part from people's history of receiving responsiveness and from their belief that their partner values them (S. L. Murray, J. G. Holmes, & N. L. Collins, 2006). This belief can be fostered by having individuals reframe a partner's compliment in an abstract way (D. C. Marigold, J. G. Holmes, & M. Ross, 2007). In this study, 96 dating couples were randomly assigned to complete a compliment reframing intervention (or not) prior to discussing a conflict. Without intervention, couples who typically had a lot of conflict reported less positive expectations of their partner for the upcoming discussion and subsequently worse outcomes than low‐conflict couples; these differences were eliminated in the compliment reframing condition. This research demonstrates the importance of perceived value and expectations of responsiveness in shaping the outcomes of conflict discussions, suggesting additional points of intervention beyond communication skills for high‐conflict couples.

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)0.001
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 score0.124
Threshold uncertainty score0.730

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.103
GPT teacher head0.432
Teacher spread0.329 · 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

Citations10
Published2016
Admission routes1
Has abstractyes

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