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Record W1833597102 · doi:10.3968/6272

On the Study of the Relationship of the Personality About Locus of Control, Coping Style and Work Management of the Headmasters in Primary and Middle Schools

2015· article· en· W1833597102 on OpenAlexvenueno aff
YU Shao-ping, XU Hua-chun

Bibliographic record

VenueStudies in sociology of science · 2015
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsPersonalityCoping (psychology)Locus of controlPsychologyStyle (visual arts)Social psychologyDevelopmental psychologyClinical psychologyGeography

Abstract

fetched live from OpenAlex

The relationship study of the Personality about Locus of Control, coping style and work engagement of the headmasters in primary and middle schools is the basis of further promoting the work engagement of the primary and middle schools headmasters. Method: Do questionnaire surveys on 220 primary and middle schools headmasters by using the Personality about Locus of Control form, questionnaire on coping style and work engagement form. Result: There are distinct differences on locus of control personality between Han and Tibet headmasters; there are distinct differences on the coping styles of the primary and middle schools headmasters in different nationalities and different ages; the two dimensions of the locus of control and coping style and every dimension of the work engagement and the total scores are distinctively related to each other (P <.05); through the analysis of the multiple stepwise regressions, we can find that the predictive power of two factors namely the coping style and the locus of control on the work engagement is up to 16.4%. If the primary and middle schools headmasters can adopt the active pattern of coping style and internal control personality while facing difficulties and problems in work contribute more to work engagement.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.214
GPT teacher head0.399
Teacher spread0.185 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2015
Admission routes1
Has abstractyes

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