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Record W4200066171 · doi:10.1177/01461672211056774

The Ups and Downs of Being Us: Cross-Relationship Comparisons in Daily Life

2021· article· en· W4200066171 on OpenAlexafffund
Sabrina Thai, Penelope Lockwood, Elizabeth Page‐Gould

Bibliographic record

VenuePersonality and Social Psychology Bulletin · 2021
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of TorontoBrock University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsOptimismPsychologyLife satisfactionSocial psychologyPerceptionDevelopmental psychologyDemography

Abstract

fetched live from OpenAlex

Cross-relationship comparisons are an integral part of relationship processes, yet little is known about the impact of these comparisons in daily life. The present research employed a dyadic experience-sampling methodology ( N = 78 couples) with end-of-day surveys, end-of-week follow-up, and a 6-month follow-up to examine how individuals make cross-relationship comparisons in daily life, the cumulative impact of these comparisons over time, and the dyadic consequences of such comparisons. Participants made more downward than upward comparisons; however, upward comparisons had a more lasting impact, resulting in decreased satisfaction and optimism, and less positive self-perceptions and partner perceptions, at the end of each day and the week. Individuals who made more upward comparisons were also less satisfied 6 months later. Individuals were also affected by their partner’s comparisons: On days when partners made more upward comparisons, they felt less satisfied and optimistic about their relationship and less positive about themselves and their partner.

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)0.004
metaresearch head score (Gemma)0.010
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0000.003
Research integrity0.0000.001
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 head0.054
GPT teacher head0.424
Teacher spread0.370 · 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

Citations13
Published2021
Admission routes2
Has abstractyes

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Same venuePersonality and Social Psychology BulletinSame topicAttachment and Relationship DynamicsFrench-language works237,207