EFFECTS OF COMPENSATION, CAREER DEVELOPMENT, WORK DISCIPLINE \nAND WORK ENVIRONMENT ON JOB SATISFACTION AMONG PRIVATE \nSCHOOL TEACHERS IN LAHAD DATU, SABAH
Bibliographic record
Abstract
This chapter sets the scene for the study and informs the reader about the issue at hand. It highlights the significance of the study and distils it down to the thesis statement. Following that, the thesis's goals, objectives, and questions are provided. Finally, important definitions \nof terms used throughout the study are supplied in the concluding section. In organisational science and organisational behaviour, job satisfaction is not a new \nphenomenon. It's one of the things that's piqued the curiosity of academics in the field. For over six decades, many studies have been conducted and thousands of articles have been published on this topic (Zembylas & Papanastasiou, 2006). The majority of the studies, however, have been conducted in affluent countries such as the United States of America, the United Kingdom, Canada, and New Zealand, with only a few studies conducted in developing countries. This means that there is more literature on teacher work satisfaction in industrialised countries than in emerging countries, particularly Malaysia.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".