The Level of Job Burnout Among the Faculty Members of the Private Jordanian Universities in Jordan and the Effect of Gender and Experience Variables on It
Bibliographic record
Abstract
This study aimed to reveal the level of burnout among the faculty members in private universities in Jordan and the effect of gender and experience variables on it. The researchers used the descriptive analytical method. The study was applied to a random sample of (203) faculty members, who were chosen through a comprehensive survey method, with (169) males and (34) females. A job burnout questionnaire was developed, and its validity and reliability were verified. The results of the study showed that the mean of the job burnout of the total degree came with a high degree. The results also showed that there were no statistically significant differences in the level of job burnout of the total degree attributed to the gender variable and in favor of females. Moreover, the results showed that there were apparent differences in the arithmetic averages on the total score for the level of job burnout with different levels of experience variable, and in favor of those with less than five years of experience.
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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 | 0.002 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".