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Record W2165099166 · doi:10.1177/0956797613475365

When Holding Back Helps

2013· article· en· W2165099166 on OpenAlexaff
Bonnie M. Le, Emily A. Impett

Bibliographic record

VenuePsychological Science · 2013
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSacrificePsychologySocial psychologyFeelingInterdependenceRomanceConstrual level theoryInterpersonal relationshipInterpersonal communicationQuality (philosophy)Association (psychology)Developmental psychologyPsychotherapistPsychoanalysis

Abstract

fetched live from OpenAlex

Is the suppression of negative emotions ever associated with beneficial outcomes in relationships? The study reported here drew on research and theory on emotion regulation, self-construal, and sacrifice to test the hypothesis that individual differences in interdependent self-construal moderate the association between negative-emotion suppression and the personal and interpersonal outcomes of sacrifice. In a 14-day daily-experience study of people in romantic relationships, people with higher levels of interdependence experienced boosts in personal well-being and relationship quality if they suppressed their negative emotions during sacrifice, whereas those who construed the self in less interdependent terms experienced lower well-being and relationship quality if they suppressed their negative emotions during sacrifice. Feelings of authenticity for the sacrifice mediated these associations. These findings identify a critical condition under which the suppression of negative emotions may be personally and interpersonally beneficial.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.128
Threshold uncertainty score0.429

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.004
Scholarly communication0.0070.005
Open science0.0010.005
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.1280.058

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 head0.207
GPT teacher head0.435
Teacher spread0.228 · 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 source (direct Gemma or distilled Codex), 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

Citations129
Published2013
Admission routes1
Has abstractyes

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