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Record W2116093789 · doi:10.5539/ass.v6n11p166

The Relationship between Alexitymia and Emotional Intelligence

2010· article· en· W2116093789 on OpenAlexvenueno aff
Fataneh Naghavi, Ma’rof Redzuan, Mariani Mansor

Bibliographic record

VenueAsian Social Science · 2010
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaEmotional intelligencePsychologyFeelingExpression (computer science)Emotional expressionIdentification (biology)Relation (database)Social psychologyDevelopmental psychologyCognitive psychology

Abstract

fetched live from OpenAlex

The article reviews empirical studies which emphasized on the relation between alexitymia and emotional intelligence (EQ). EQ is a set of abilities such as conception, emotion appraisal and expression, emotion management and regulation, and emotion utilization of emotion. As emotional intelligence is acquisitive and of social origin, parents and children thus expose their emotions in an expressive way to one another, either consciously or unconsciously in their interactions. Adolescence’s alexithymia overlay emotional intelligence in the field of emotion identification and to some extent, in feelings expression. Alexithymic adolescence cannot express emotions orally due to inability in feelings identification, whereas preliminary emotional abilities have specific importance because skillfulness in appraisal and quick precise expression of emotions brings about suitable compatibility in relation with environment and others. The research showed that emotional intelligence is negatively associated with alexithymia. The article is divided into several sections. The review is started with the definition of alexithymia, and this is followed by a review on the alexithymia, as well as the effects and interaction of emotional intelligence. Then, an overview of the paper is included a demonstration of the influence of alexithymia on emotional intelligence is also given. Finally, according to previous study it is important to realize that alexithymia does not imply a total unawareness of having emotions.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.681
Threshold uncertainty score0.999

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 studies0.0020.002
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 head0.400
Teacher spread0.312 · 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

Citations7
Published2010
Admission routes1
Has abstractyes

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