Association of Career Satisfaction with Stress and Depression: The Case of Preservice Music Teachers
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
In order to investigate the relationships between preservice music teachers’ levels of career satisfaction, severity of depression, and perceived stress, ninety-four students enrolled in the music education BSc program of the faculty of education at a public university in southwestern part of Turkey were survey. Data were collected by Beck’s Depression Inventory, Perceived Stress Scale, and Career Satisfaction Scale. Associations were analyzed by ANOVA, Pearson’s product-moment correlation coefficient, and multiple linear regression. It was found that preservice music teachers’ stress and depression levels were significantly higher compared to previously reported means while career satisfaction levels were lower. Preservice music teachers’ career satisfaction scores significantly differed according to the grade level. There was a strong positive relationship between severity of depression and perceived stress level while career satisfaction was weakly and negatively associated with both severity of depression and perceived stress. Finally, career satisfaction neither was a predictor of nor predicted by stress or depression.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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