Job Stress Level as Perceived by Staffs in the Government Sector Case Study: MARA Kuching, Sarawak
Bibliographic record
Abstract
Stress is a reaction to excessive pressure or harassment at work. It is a physical, mental, or emotional response to events that cause bodily or mental tension. People in stress conditions may find it is hard to concentrate on any task and cannot be relied on to do their share. Some employers assume that stressful working conditions turns up the pressure on workers. A set aside health concerns; it will affect the productivity and profitability in today’s economy. This paper purposely to identify the level of job stress among government staffs. This study was carried out using a set of questionnaire and survey method. The questionnaire was distributed to 150 staffs of Majlis Amanah Rakyat (MARA) Kuching as representative of government sector and was analysed using SPSS version 19. The study had shown that most of the respondents were moderately stressful. It is very important that the organisations understands the needs of its employees and provide what is best for the employees.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".