Research on the Influencing Factors of Job Stress of University Teachers ---- Take Changchun University of Science and Technology as an Example
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
The paper selects 159 teachers of Changchun University of Science and Technology (CUST) by stratifi ed sampling method to perform questionnaire survey, determines five factors that influence the job stress of university teachers by principal component analysis. It also analyzes the influence of academic title, gender, age, education background, length of service and discipline difference on the job stress so as to guide universities to deal with teachers’ job stress. Key words : University teacher; Job stress; Job performance Resume Le present texte selectionne 159 professeurs de l’Universitede de la science et de la technologie de Changchun (CUST) par la methode d’echantillonnage stratifie pour effectuer enquete par questionnaire, determine cinq facteurs qui infl uencent le stress au travail des professeurs d’universite par l’analyse en composantes principales. Il analyse egalement l’influence du titre de formation, le sexe, l’âge, l’education de base, la duree de service et de la difference de discipline sur le stress au travail afi n de guider les universites a faire face au stress d’emploi des enseignants. Mots cles : Professeur d’universite; Le stress au travail; Le rendement au travail
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.014 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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