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Record W2071678264 · doi:10.1177/0146167206290383

When Is Being Known or Adored by Romantic Partners Most Beneficial? Self-Perceptions, Relationship Length, and Responses to Partner's Verifying and Enhancing Appraisals

2006· article· en· W2071678264 on OpenAlexaff
Lorne Campbell, Sandra D. Lackenbauer, Amy Muise

Bibliographic record

VenuePersonality and Social Psychology Bulletin · 2006
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychologySocial psychologyFeelingRomancePerceptionSelf-enhancementDevelopmental psychology

Abstract

fetched live from OpenAlex

An experiment tested the hypothesis that relationship length moderates preferences for both verifying and enhancing appraisals from romantic partners, particularly for people with negative self-perceptions. One hundred and three romantically involved couples participated in this research. Participants with both negative and positive self-perceptions were randomly assigned to receive either verifying or enhancing feedback ostensibly created through comparison of their self-ratings and their partner's appraisals. The critical test was for those with negative self-ratings who received verifying feedback. For these participants, results revealed that those in longer relationships felt their partners were seeing the best in them more than did those in shorter relationships, whereas the opposite pattern of results was observed for those who were enhanced. Individuals with negative self-ratings who were verified also reported greater feelings of intimacy in the relationship when in long-term relationships. The importance of relationship length in moderating responses to partner's appraisals is discussed.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0010.000
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 head0.040
GPT teacher head0.406
Teacher spread0.366 · 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.

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

Citations67
Published2006
Admission routes1
Has abstractyes

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