HRM Practices in Public and Private Universities of Pakistan: A Comparative Study
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 purpose of this study was to compare the HRM practices of public and private universities in Punjab province of Pakistan. The data for the study was collected through a questionnaire comprising 30 items mainly related to job definition, training and development, compensation, team work, employee’s participation and performance appraisal. The instrument was validated through pilot testing. The internal reliability of the instrument was found to be 0.85. The sample was comprised of 60 executives (directors/heads of departments) selected randomly from six universities. The collected data was analyzed by applying descriptive and inferential statistical techniques such as means and independent sample t-test. The results showed that there was a significant difference in HRM practices according to executives of public and private universities. HRM practices in the areas of job definition, training and development, compensation, team work and employees participation were better in the public universities than private universities. However, performance appraisal practices were found better in the private universities than public sector universities. At the end recommendations were made for the HRM executives of private and public universities to improve their HRM practices in favor of their employees.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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