The Relationship and Its Impact Between Organizational Health and Job Satisfaction
Bibliographic record
Abstract
The research aims to investigate the relationship between organizational Health and Job satisfaction beside and examine how a job satisfaction is affected by the state of health in an organization.The population includes (80) employees who work in different areas of Baghdad Mayoralty. Questionnaire form was used to collect a required data from sample of research. This questionnaire consists of three parts, First part concern with individual data while the second used to measure the level of health in a survey organization depending on (Karaguzel, 2012) characteristics' that involve (21) statements and the last part measured the degree of Job satisfaction based on (Minnesota Satisfaction Questionnaire-short form) which contain (20) phrases. The questionnaire upon distributed to respondents was translated to Arabic language. So, Acronbach's test using SPSS program for social science to determine the reliability of this instrument that it indicated to the respective value. As well as the statistical results were confirmed the research hypothesizes that refer to strong and significantly as such influence between organizational health and job satisfaction.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.006 | 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".