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Record W4411396877 · doi:10.53762/yerfxj31

10.53762/yerfxj31

2000· article· en· W4411396877 on OpenAlexvenueno aff
Asif Minhas, M. Zeeshan Gul

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsEmotional competencePsychologyCoping (psychology)PerceptionCompetence (human resources)Emotional stressApplied psychologyDevelopmental psychologyPopulationEmotional regulationStress managementSocial psychologyEmotional intelligenceClinical psychologyMedicine

Abstract

fetched live from OpenAlex

This study examines the domains of emotional stability among 153 school heads in five southern districts of KP, focusing on emotional awareness, emotional regulation, emotional expressivity, social competence, and stress coping. A researcher-made questionnaire was used to assess their perception levels for the above-mentioned domains of emotional stability. The questionnaire was properly validated and its reliability was recorded as 0.82. The population of the study comprised 572 school heads. The questionnaire was distributed among 235 school heads among which 153 responded properly. Most school heads (64%) responded to the high impact of stress-coping skills on their work performance. The lowest impact domain was considered emotional awareness (39%). These results highlight the need for training programs and skill development practices to enhance stress-coping capabilities in school heads. Moreover, encouraging discussion forums for emotional awareness among school heads, and creating a supportive environment for expression, feedback, and emotion management is highly recommended.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.633
Threshold uncertainty score0.324

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)1.0000.999

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 head0.020
GPT teacher head0.269
Teacher spread0.249 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2000
Admission routes1
Has abstractyes

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