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Record W2936312945 · doi:10.5267/j.msl.2019.4.007

Job stress and satisfaction among academic staffs in public universities: An empirical study in the United Arab Emirates (UAE)

2019· article· en· W2936312945 on OpenAlexvenueno aff
Adnan Jawabri, Ayman Al Armoti, Mohammed Ali Mohammed

Bibliographic record

VenueManagement Science Letters · 2019
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsJob satisfactionStress (linguistics)Empirical researchPsychologyBusinessMedical educationMarketingSocial psychologyMedicineMathematicsStatistics

Abstract

fetched live from OpenAlex

The purpose of this study is to measure the role of job stress among the academic staff of the public universities of UAE. A survey was conducted among 350 academic staffs of the public universities across UAE, concerning the trends of job stress and satisfaction and a possible relationship between these two variables. Primary data analysis reveal that the public universities showed different directions for varying forms of job stress. Moreover, five types of stressors were found to be significant for the academic staff at the universities and when they were tested on job stress, the results revealed the significant impact on job stress. More specifically, pay, and growth stressors as well as work-related stressors were found to negatively influence job stress for the academic staff. Future research of time series analysis can be conducted to understand the trends of stress under different situations over time for academic staff.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.329

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0010.000
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 head0.021
GPT teacher head0.262
Teacher spread0.241 · 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

Citations7
Published2019
Admission routes1
Has abstractyes

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