Factors affecting knowledge sharing behavior of lecturers: The case of public universities
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
Studying knowledge sharing behavior of lecturers at public universities in Ho Chi Minh City is an urgent issue. In the development and vastness of knowledge treasure, knowledge sharing actually becomes a way to reduce the difficulties and waste of time to learn, acquire the knowledge, thereby, helping public universities build a team of lecturers who have good knowledge and meet the job requirements for their development. Therefore, the author conducts a study to bring out the factors affecting activities of knowledge sharing behavior of lecturers at public universities in Ho Chi Minh City now. Based on the data collected, we use Cronbach's Alpha, EFA and run regression model for knowing the impact levels of each independent variable on dependent variable of the knowledge sharing behavior of lecturers. Based on the findings, some recommendations are given for improving the knowledge sharing behavior of lecturers at public universities in Ho Chi Minh City.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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