Burnout and occupational participation among dentists with teaching responsibilities in universities
Bibliographic record
Abstract
The aim of this study was to investigate the levels of burnout and explore the relationships between burnout and occupational participation among dentists with teaching responsibilities. Canadian Occupational Performance Measure (COPM) was used to evaluate occupational participation with questions on demographic information among 155 dentists with teaching responsibilities. Age, gender, years of experience, academic position were the factors affecting level of burnout and occupational participation. Occupational performance score was negatively correlated with emotional exhausment (r = -.731) and depersonalization (r = -.693) while positively correlated with personal accomplishment (r = .611). Occupational satisfaction scores were negatively correlated with emotional exhausment (r = -.631) and depersonalization (r = -.625) while positively correlated with personal accomplishment (r = .614). Occupational participation level can effect burnout among dentists with teaching responsibilities. Further studies with a larger sample are needed to investigate these preliminary results deeply.
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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 | 0.002 | 0.006 |
| 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 | 0.002 |
| Research integrity | 0.000 | 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".