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Record W2947698058 · doi:10.5539/mas.v13n6p75

The Level of Applying Ergonomic Factors in Work Environment at the World Islamic Sciences University and Its Influence on Decreasing Management Problems from the Perspective of Staff Members

2019· article· en· W2947698058 on OpenAlexvenueno aff
Mohammed Falah Ali Khawaldeh

Bibliographic record

VenueModern Applied Science · 2019
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Management
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)Human factors and ergonomicsIslamWork (physics)Sample (material)Dimension (graph theory)PsychologyComputer scienceMedicineEngineeringPoison controlMechanical engineeringMathematicsEnvironmental healthChemistry

Abstract

fetched live from OpenAlex

This study aims to unravel the level of applying ergonomics, and its influence on decreasing management problems in work environments at the World Islamic Sciences University, henceforth (WISE U.), from the perspective of staff members. To achieve the goals of the study, the descriptive method was adopted. Sample of the study consisted of (94) staff members. Two questionnaires were designed: the first is on ergonomics which consisted of four dimensions: the human, the structural and the technical and technological. The second questionnaire was on decreasing management problems. The results revealed that staff members assessment for ergonomics with all its dimensions was medium, while their assessment for decreasing management problems was high. It was also found, from the perspective of staff members, that applying ergonomics with the purpose of decreasing management problems in the university was high, excluding the application of technical dimension.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.699
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.071
GPT teacher head0.331
Teacher spread0.260 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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