The Evaluation of Teachers’ Job Performance Based on Total Quality Management (TQM)
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
This study aimed to evaluate teachers’ job performance based on total quality management (TQM) model. This was a descriptive survey study. The target population consisted of all primary school teachers in Karaj (N=2917). Using Cochran formula and simple random sampling, 340 participants were selected as sample. A total quality management model-based researcher made questionnaire was used for collecting the data. Its validity was confirmed by experts. The pilot study was conducted on 30 participants; using Cronbach Alpha formula, its reliability was determined to be 0.813. The data were analyzed using SPSS software in two descriptive (median, mean, mode, standard deviation, skewness) and inferential (one-sample T test) levels. The findings showed that at α= 0.05 level, the teachers’ job performance was higher than mean. At α= 0.05 level, also, the teachers’ job performance in process design, management, process improvement, public participation, and focus on customer was higher than mean.
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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 | 0.002 | 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