Research on Professional Life Quality of Preschool Teachers in Chinese Poverty Counties: Job Satisfaction’ Perspective
Bibliographic record
Abstract
Preschool teachers’ job satisfactions are the core representation of teachers’ professional life quality. Throughevaluating the preschool teachers’ job satisfactions in Chinese poverty counties, we can predict the level ofpreschool teachers’ professional living quality in poverty-stricken areas. Taken 110 teachers in Poverty County Fas sample, using questionnaire and interview, it is concluded that: the overall situation of job satisfaction ofpreschool teachers in poverty-stricken areas is still insufficient ideal, the dissatisfaction of economic income andworking conditions are still most prominent phenomenon. In order to improve preschool teachers’ jobsatisfaction working in remote poverty counties, thus enhancing the preschool education quality in impoverishedareas, it is urgent to promote the level of teachers’ salaries and make kindergarten physical environment better.Meanwhile, improving leadership style, building good working atmosphere in preschools and then increasingteachers’ in-service training opportunities are also important.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".