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Record W1998432134 · doi:10.1080/15283488.2011.613586

The Link Between Identity Style and Intimacy: Does Emotional Intelligence Provide the Key?

2011· article· en· W1998432134 on OpenAlexafffund
Cherisse L. Seaton, Sherry L. Beaumont

Bibliographic record

VenueIdentity · 2011
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsUniversity of Northern British Columbia
FundersSociety for Personality and Social PsychologyUniversity of British ColumbiaUniversity of Northern British Columbia
KeywordsPsychologyEmotional intelligenceMediationNormativeStyle (visual arts)Identity (music)Social psychologyDevelopmental psychologySociology

Abstract

fetched live from OpenAlex

The authors examined the relationships among identity, emotional intelligence, and intimacy. Participants were 325 emerging adults (69% women) who completed measures of identity processing styles (informational, normative, and diffuse-avoidant), identity commitment, and intimacy. A subsample (n = 174) completed the Mayer-Salovey-Caruso Emotional Intelligence Test. The informational and normative identity styles were positively related to intimacy, whereas the diffuse-avoidant identity style was inversely related to intimacy. The informational style was positively related to emotional intelligence, and the diffuse-avoidant style was inversely related to emotional intelligence. Emotional intelligence was also positively related to intimacy. Mediation analyses revealed that emotional intelligence mediates the relationships between identity processing and intimacy for the informational (partial mediation) and diffuse-avoidant (full mediation) styles.

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)0.001
metaresearch head score (Gemma)0.009
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.051
GPT teacher head0.335
Teacher spread0.284 · 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
Published2011
Admission routes2
Has abstractyes

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