Levels of stress amongst the school teachers in a public school of rural Western Maharashtra
Bibliographic record
Abstract
Teachers are among the professions reporting highest level of work-related stress, the study was undertaken to evaluate the levels of stress amongst school teachers in a public school of rural western Maharashtra Prospective survey based study was carried out amongst school teachers of rural western Maharashtra using Copenhagen Psychosocial Questionnaire (COPSOQ). The survey was carried out on 3 scheduled visits over a period of 2 months after the Institutional Ethical committee approval. Total 110 Primary and secondary school teachers, satisfying inclusion and exclusion criteria were randomly selected for the study. All the questions in the Copenhagen Psychosocial Questionnaire (COPSOQ) were graded according to 1 (Always-0), 2 (Sometimes-25), 3 (Often-50), 4 (Seldom-75) and 5 (Never-100). The scale value was calculated as the simple average. More the average score less the stress and vice versa Inability to understand the meaning and importance of work, improper clarity about the job, inability to cope with the problems were found to be the factors always contributing to stress of teachers.
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 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".