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Record W2802332416 · doi:10.5539/mas.v12n5p77

Organizational Climate at the Jordanian Public High Schools and its Relation to the Teachers' Job Performance

2018· article· en· W2802332416 on OpenAlexvenueno aff
Rateb Al-Saud, Khitam N. Radwan

Bibliographic record

VenueModern Applied Science · 2018
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsOrganisation climateChristian ministrySchool teachersStratified samplingSample (material)Work (physics)PsychologyJob performanceMedical educationPolitical sciencePublic relationsMathematics educationJob satisfactionMedicineMathematicsSocial psychologyEngineeringStatistics

Abstract

fetched live from OpenAlex

This study aimed at identifying the organizational climate at the Jordanian public high schools and its relation to the teachers' job performance. The sample of the study consisted of (100) high school principals, who were chosen using the stratified random technique, and three teachers who work with each of those 100 principals, who were chosen randomly, during the academic year 2016-2017.The findings of the study indicated that both of the organizational climate and job performance at public high schools in Jordan was medium. Furthermore, the results indicated a statistically significant positive correlative relationship at (α=0.05) between the level of the organizational climate in the public secondary schools in Jordan and the level of teachers' job performance in these schools. Accordingly, the two researchers recommend that the Ministry of Education should improve the organizational climate in secondary schools in Jordan and hold training courses for principals in this field.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.013
GPT teacher head0.211
Teacher spread0.197 · 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.

Study designTheoretical or conceptual
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

Citations0
Published2018
Admission routes1
Has abstractyes

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