Investigation of Teacher Job-Performance Model: Organizational Culture, Work Motivation and Job-Satisfaction
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 research is intended to develop a Teacher Job-performance Model by considering causal relationship between teacher job-performance determinants i.e. Organizational Culture, Organizational Structure, and Work Motivation. It was found that path coefficient of organizational culture to work motivation is 0.333 at a significant level of < 0.05 and F = 17.553, where Fcalc.> F1/141= 3.908, at α < 0.05. In addition, path coefficients of organizational culture and work motivation to job-satisfaction are 0.225, and 0.263 respectively at a significant level of < 0.05 and F = 13.224, where Fcalc.> F2/140= 3.061, at α < 0.05. Furthermore, path coefficients of organizational culture, work motivation and job-satisfaction to job-performanc are 0.269, 0.236, and 0.193 respectively at a significant level of < 0.05, and F = 17.261, where Fcalc.> F3/139= 2.669, at α < 0.05. Finally, indirect effect of organizational culture on job-satisfaction and job-peformance through work motivation is 0.087, and 0.078 respectively. It is concluded that the Model suggested fits with data collected, as a result, it can be used for perdicting teacher job-performance, including teacher promotions and feedback for improving teacher performance.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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