Bibliographic record
Abstract
This research investigates the effect of job characteristics on job involvement and job performance in masjed soleiman municipality staff.The research is applied in terms of its purpose and in terms of the method of collecting data is descriptive causal.The statistical population of the study consisted of all municipality employees of masjed soleiman.thesampling method in this research was random.Considering the limited community and morgan table, the sample size of 240 employees was considered.After distributing the 250 questionnaires were collected and analyzed.All analyzes performed using SPSS and smart PLS software.In this research to evaluate the motivational characteristics of a 5-item occupation, job diversification, job autonomy, job feedback, meaningfulness, and duty identity have been investigated.the results of the research showed that all five dimensions of job motivation have a significant effect on employee participation.also, the results showed that job involvement has a significant effect on the performance of the employees of the municipality of masjed soleiman.finally, research proposals and suggestions for future research are presented.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.913 | 0.835 |
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".