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Record W2032971871 · doi:10.3200/socp.147.4.325-344

From Emotional Intelligence to Intelligent Choice of Partner

2007· article· en· W2032971871 on OpenAlex
Oren Aaron Amitay, Myriam Mongrain

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Social Psychology · 2007
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsToronto Metropolitan UniversityYork University
Fundersnot available
KeywordsEmotional intelligencePsychologySocial psychologyComputer science

Abstract

fetched live from OpenAlex

The authors examined interpersonal correlates of emotional intelligence (EI) in a sample of individuals with a history of depression. The authors focused on potentially adaptive relationship dynamics associated with EI that may help protect these vulnerable individuals from further distress. Participants with high EI, as measured with the Mayer-Salovey-Caruso Emotional Intelligence Test, saw their partners as less hostile, critical, and rejecting in their support styles than did participants with low EI. Partners' own reports mostly corroborated these findings. Unexpectedly, although partners of high EI participants reported offering less active and directive support than did partners of low EI participants, high EI participants perceived their partners as more supportive than did low EI participants. Partners of emotionally intelligent participants also reported being more conscientious and open to experiences, offering some evidence of the stress-buffering hypothesis associated with higher EI.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.786
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.124
GPT teacher head0.470
Teacher spread0.346 · 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