Perceptions of Pre-Service Teachers on Student Burnout, Occupational Anxiety and Faculty Life Quality
Bibliographic record
Abstract
Perceptions of pre-service teachers on burnout, occupational anxiety and faculty life quality were investigated in this research. The research group consisted of 461 pre-service teachers in total studying at Afyon Kocatepe University faculty of education. “Maslach Burnout Inventory-Student Form”, “Faculty Life Quality Scale” and “Occupational Anxiety Scale for Pre-Service Teachers” were used in the collection of the research data. The information on the demographic features of the participants was collected as gender, age, branch and division. Arithmetic mean and T-test were used in the analysis of the data. In the research, it was seen that the burnout levels of pre-service teachers are at moderate level, and they are centred the dimension of feeling competent. It was found that occupational anxiety is centred in appointment related anxiety. It was seen that the level of satisfaction on the quality of faculty life is at a moderate level and it is centred on the dimension of satisfaction with the teaching staff. It was found that the faculty life quality satisfaction levels of female pre-service teachers are higher than male pre-service teachers. On the other hand, the burnout and occupational anxiety levels of female pre-service teachers were found significantly higher than male pre-service teachers.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".