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Emotional Intelligence as a Factor against Burnout in Female Students and Teachers

2021· article· en· W3172424549 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Intellectual Disability - Diagnosis and Treatment · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Professional Development
Canadian institutionsnot available
Fundersnot available
KeywordsBurnoutPsychologyEmotional intelligenceEmpathyEmotional exhaustionMultivariate analysis of varianceDevelopmental psychologyClinical psychologyGraduation (instrument)Social psychology

Abstract

fetched live from OpenAlex

A joint analysis of the concepts of "emotional intelligence" and "burnout" allows finding new ways to protect against the adverse effects of chronic stress. It is known that emotional competencies are determined by gender and gender, but this aspect needs to be clarified. A longitudinal study was conducted in a female sample (575 students and 96 teachers from different regions of Ukraine) to determine the dynamics of burnout in calm and stressful periods and trace the correlation of symptoms with emotional abilities. The structural components of emotional intelligence (reflection, self-regulation, empathy, expressiveness, and acceptance of one's own emotions) and manifestations of burnout were measured; three diagnostic sections were made at the beginning of the academic year, after the winter and spring examination sessions. Significant growth of all burnout indicators during the annual training cycle (MANOVA) was recorded. The effect of the accumulation of fatigue (exhaustion) was robust in teachers and graduate students. At the same time, after the session, students grew a sense of self-efficacy, compensating for the resources spent. Comparison of means in six subsamples of students in grades 1-5 and teachers (ANOVA) showed that structural changes in emotional competencies describe the adaptive potential of a certain age period. The developed empathy and self-regulation are the main signs of women's emotional maturity after graduation. The structure of correlations between burnout parameters and emotional competencies differed in different groups. The most significant contribution to preventing burnout in students is made by reflection and self-regulation, in teachers — by self-regulation, empathy, and acceptance of one's feelings. The negative correlation between emotional abilities and symptoms of burnout is exacerbated during times of stress. It is concluded that there are two mechanisms of the protective influence of emotional intelligence: direct, which prevents exhaustion by controlling and regulating negative emotions, and indirect, through a sense of self-efficacy resulting from the successful overcoming of professional challenges.

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)0.000
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 science0.0000.000
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 head0.088
GPT teacher head0.414
Teacher spread0.325 · 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