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A study of effects of trait shyness and regulation of emotional expression on satisfaction and dyadic behavior of friendship

2012· article· en· W2330832469 on OpenAlexaff
Yoshino Tsushima, Eiko Matsuda

Bibliographic record

VenueStress Science Research · 2012
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsHealth Research Foundation
Fundersnot available
KeywordsFriendshipShynessPsychologyTraitDevelopmental psychologyEmotional expressionSocial psychologyExpression (computer science)Anxiety

Abstract

fetched live from OpenAlex

The purpose of this study was to examine the effect of the trait shyness and the regulation of emotional expression on close friendship behavior at both cognitive and behavioral level. Two hundred and thirty-one undergraduates (111 males and 120 females) completed a) Trait shyness scale, b) regulation of emotional expression scale, c) self-rated satisfaction of friendship and d) checklist of dyadic behaviors with their close friends. The main results were as follows: i) Shy males were less satisfied and had fewer behaviors with their friends than not-shy males. ii) Shy females had fewer behaviors with their friends than not-shy females. iii) Females who marked a high score on regulation of emotional expression were less satisfied of their friendship than low scorers. iv) Only for males, the interaction effects of trait shyness and regulation of emotional expression on close friendships were partly confirmed. The results indicate that trait shyness has negative effects on both dyadic behavior of friendship and friendship satisfaction though excessive emotion expression has negative effects only on friendship satisfaction.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.326

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.088
GPT teacher head0.496
Teacher spread0.408 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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