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Record W4282029443 · doi:10.3390/ijerph19127129

The Relationship between Mindfulness and Job Burnout of Chinese Preschool Teachers: The Mediating Effects of Emotional Intelligence and Coping Style

2022· article· en· W4282029443 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.

Bibliographic record

VenueInternational Journal of Environmental Research and Public Health · 2022
Typearticle
Languageen
FieldPsychology
TopicChild Therapy and Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMindfulnessPsychologyEmotional intelligenceBurnoutCoping (psychology)Emotional exhaustionJob stressDevelopmental psychologyClinical psychologySocial psychologyJob satisfaction

Abstract

fetched live from OpenAlex

Preschool teachers' job burnout has many adverse effects on their career development; although some studies have examined the influencing factors of teachers' burnout, less were explored from the perspective of individual factors. This study aimed to examine the relationship between mindfulness and job burnout of preschool teachers, and the mediating effects of emotional intelligence and coping style. A total of 394 preschool teachers in China filled in questionnaires measuring mindfulness, emotional intelligence, coping style, and job burnout. The findings suggested that: (1) mindfulness was negatively related to job burnout; (2) emotional intelligence and negative coping style played independent mediating effects between mindfulness and job burnout; and (3) emotional intelligence and positive coping style played a chain mediating effect between mindfulness and job burnout. The results revealed the mechanism of mindfulness on preschool teachers' job burnout, which is of great significance for the psychological intervention of preschool teachers in the future.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.141
Threshold uncertainty score0.328

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
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 integrity0.0000.001
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 head0.067
GPT teacher head0.397
Teacher spread0.331 · 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