Anxiety and Stress in In-service Chinese University Teachers of Arts
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
As revealed by literature, anxiety and stress are complicated yet serious issues among teachers at all educational levels. Though widely studied, research on them often focuses on pre-service or primary and middle school teachers, with little research on in-service university teachers. It is especially so in China. The present study thus examined anxiety, stress and their relations with demographic variables in in-service university teachers in China. 256 teachers from various universities in China answered the Demographic Questionnaire, the Teaching Anxiety Scale and the Teacher Stress Inventory. Analyses of the data revealed the following main findings: (1) the participants were under great stress, but they were generally not so anxious about teaching, (2) teaching anxiety was generally significantly negatively correlated with age, professional title and years of teaching, while teacher stress was significantly negatively related to professional title, and (3) overall teacher stress, professional title and age were powerful predictors for teaching anxiety, while years of teaching, overall teaching anxiety and its subscales were powerful predictors for teacher stress. Based on these findings, some implications are discussed.
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 | 0.000 | 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