Bibliographic record
Abstract
Nowadays, among organizational resources, "human resources" are considered as the most valuable factor of production and the most important capital of any organization due to the important role that it plays in the growth and development of human communities.In other words, in new era, human in management is viewed as endless capital because the organization's managers have found well that reduction in human capital leads to decreased productivity and production.The present study examines the factors affecting empowerment of managers in Qom University of medical sciences and health services.The method of study is survey-descriptive and analytical and it is considered among applied studies.The population of research included of 200 employees of Qom University of Medical Sciences that 130 of them were selected as sample of study through simple random method and using Morgan table Cochran formula.Data collection tools included psychological empowerment questionnaire of Spritzer and Mishra, human resources empowerment questionnaire of Wotton and effective managers' skills questionnaire that has five point Likert scale.After collecting data and investigating the research hypotheses using Pearson correlation test and exploratory factor analysis test, it was found that components of collaborative management, leadership style, being significant, building trust, competence, reward system, giving independence for occupational groups, providing information, performance evaluation, organizational structure and having clear goals are the most important factors in empowerment of managers in Qom University of Medical Sciences and Health Services, respectively.
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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) | 0.000 | 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) | 0.992 | 0.990 |
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; both teacher heads agree on what is shown here.
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".