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Record W4281611963 · doi:10.5539/ijps.v14n2p54

The Effect of Despotic Leadership on Work Alienation with the Mediating of Work Boredom

2022· article· en· W4281611963 on OpenAlexvenueno aff
Naser Nastiezaie, Anbarkhatun Vahdani, Asma Porki, Zahra Galavi, Masoud Ramroudi

Bibliographic record

VenueInternational Journal of Psychological Studies · 2022
Typearticle
Languageen
FieldNeuroscience
TopicMind wandering and attention
Canadian institutionsnot available
Fundersnot available
KeywordsAlienationBoredomAnomieStructural equation modelingLISRELPsychologySocial psychologyWork (physics)Leadership stylePolitical scienceMathematicsEngineeringStatisticsLaw

Abstract

fetched live from OpenAlex

The purpose of this study was to investigate the effect of despotic leadership on work alienation with the mediating of work boredom. This study was a correlation research method based on structural equation modeling. 253 teachers of Konarak (Iran) were studied by stratified random sampling method. To collect information, three questionnaires were used: despotic leadership, work alienation and work boredom. For data analysis the Pearson correlation coefficient and structural equation modeling were used by SPSS and Lisrel software. Based on results the direct effect of despotic leadership on work alienation, despotic leadership on work boredom and direct effect of work boredom on work alienation was positive and significant. The indirect effect of despotic leadership on work alienation was also significant with the mediator role of work boredom. Thus, school principals who use a despotic leadership style lead to the spread of organizational anomie in the school, and this organizational anomie in turn increase the deviant behaviors of teachers.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.430
Threshold uncertainty score0.166

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
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 head0.157
GPT teacher head0.382
Teacher spread0.225 · 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.

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

Citations3
Published2022
Admission routes1
Has abstractyes

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