Bibliographic record
Abstract
The purpose of this research is to study the relationship between work life quality and organizational commitment of employees of sport and youth organization of Fars County.The method of descriptive research is from the kind of correlation and the statistical society of this research includes all staff and employees of sport and youth organization of Fars county.That the number of them is 150 people.The method of sampling has been simple random that 108 people were selected according to Korjecy -Morgan Table .The evaluation tool in this research has been 3 questionnaires of work life quality of Ghasemzadeh (1384), Organizational commitment of Alen and Mire (1984) .The reliability of evaluation tool was verified.In order to analyzing the data in descriptive statistics field, The statistical methods of mean and standard deviation and in the field of deductive statistics , The statistical methods of Pearson correlation coefficient and step by step regression were used .The results show that There is a direct and meaningful relationship between life quality and organizational commitment .There is a direct and meaningful relationship between The components of life work quality and organization commitment at level.Among the Components of work life quality , the component or respecting the rights and human being rank and esteem toward the other Variable are the most predictor for organizational comment.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.949 | 0.926 |
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; the direct Gemma label and the distilled Codex classifier 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".