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Record W2045063302 · doi:10.1037/cjbs2006012

Self-talk and emotional intelligence in university students.

2006· article· en· W2045063302 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Behavioural Science/Revue canadienne des sciences du comportement · 2006
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsPsychologyEmotional intelligenceSocial psychologyCognitive psychology

Abstract

fetched live from OpenAlex

Cette etude avait pour but d'examiner le monologue interieur, l'annee d'etude et le sexe en tant que variables explicatives du quotient emotionnel, aupres d'un echantillon de 126 etudiants universitaires de premier cycle (42 hommes, 84 femmes). La litterature scientifique considere que le monologue interieur a pour fonction d'ameliorer la conscience de soi et la maitrise de soi, qui sont tous deux consideres comme des facteurs importants dans le construit du quotient emotionnel. Les participants ont rempli des questionnaires auto-rapportes sur le monologue interieur et le quotient emotionnel. Les resultats indiquent que l'annee d'etude et le monologue interieur constituent des variables predictives significatives du quotient emotionnel et qu'elles sont associees positivement au quotient emotionnel. Contrairement aux attentes, le sexe des participants ne s'est pas revele comme predicteur significatif. Ces resultats sont discutes en termes de potentialites pour la recherche future sur l'etude du monologue interieur et du quotient emotionnel.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.076
GPT teacher head0.291
Teacher spread0.215 · 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