A Study of the Present Situation of Occupational Well-Being among Kindergarten Teachers<br>&#8212;Based on OECD &#8220;Teachers&#8217; Well-Being: Data Collection and Analysis Framework&#8221;
Bibliographic record
Abstract
Drawing from the OECD’s “Teachers’ Well-being: Data Collection and Analysis Framework”, this study investigates the current state of occupational well-being among 394 kindergarten teachers in Suzhou. It reveals that the overall level of occupational well-being among kindergarten teachers is at the middle level, with the highest social well-being and the lowest physical and mental well-being; There are significant differences in the occupational well-being of kindergarten teachers in terms of teaching experience and professional titles. Kindergarten teachers with more than 16 years of teaching experience have the highest occupational well-being, while kindergarten teachers with less than 5 years of teaching experience have significantly lower occupational well-being than other teachers; Senior kindergarten teachers have the highest sense of occupational well-being, while kindergarten teachers with second level titles have significantly lower levels of occupational well-being compared to other teachers. Based on research data, in order to enhance the occupational well-being of kindergarten teachers, this study suggests paying attention to the physical and mental well-being, and strengthening the health support system; inspiring a sense of well-being throughout the entire career process and optimizing the career development strategies for kindergarten teachers; creating a good professional environment for kindergarten teachers to reduce their workload and enhance their abilities.
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How this classification was reachedexpand
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 teacher head, 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".