The Role of Internal Environment in Jordanian Ministry of Health in Migration of Specialist Doctors
Bibliographic record
Abstract
The aim of this study was to determine the role of internal environment in Jordanian ministry of health in migration of specialist doctors. In order to achieve this goal, a questionnaire was designed. It consists of (30) thirty clauses reflect all the dependent and independent variables. The study sample consists also of (120) Specialists who left the Jordanian Ministry of Health (J.M.O.H). Grynbach constancy coefficient reached 88%. Percentages, Means, standard deviation, (ANOVA), and leaner regression analysis were used to test the hypothesis. The study found that; there is a strong relationship between all the internal environment components in the (J.M.O.H) and migration of specialist doctors. All the internal environment components effect the migration of specialist doctors. The descending order of the effects of the internal environment components are as follows: salaries and incentives, equipment, furniture and office design, administrative style, systems and procedures, lighting and conditions, and finally the nature of the prevailing relations. The study also found that there is a difference in the migration between specialist doctors due to gender, marital status, age, and experience. According to the study findings, the researcher recommends the following; the hospital managers must give more attention to the internal environment conditions, initiate a new suitable salary scale, and give special training programs in hospital administration for those doctors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".