Assessment of Stress and Its Risk Factors among Primary School Teachers in the Klang Valley, Malaysia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction: This cross-sectional study determined the workplace stressors, stress levels, mental health status and their influencing factors, among primary school teachers in the Klang Valley, Malaysia. Methodology: Nine primary schools in Klang Valley which fulfil the inclusive criteria were randomly selected from a list obtained from the Ministry of Education website. Two hundred and seventy two teachers from the selected school, volunteered to participate in the study. A questionnaire was used to determine socio-demographic background, working information and medical history. Teacher Stress Inventory was used to measure the stressor and stress levels; while General Health Questionnaire was used to measure the mental health status. Result: Results showed that most of the teachers experience moderate stress level (71.7%) and only 12.1% had low mental health status. Student misbehaviour was the main stressor in the school environment (mean= 2.62). Gender (p=0.001) and workload (p=0.002) showed a significant contributing factors toward mental health status. Conclusion: These primary school teachers experience stress mainly due to the student misbehaviour and the mental well-being were influenced by the workload and gender. Women teachers with heavy workload had relationship with lower mental health status.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it