An empirical study on performance-based payment systems: A case study of economical and non-economical organizations
Why this work is in the frame
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Bibliographic record
Abstract
In this paper, we propose an empirical survey between two groups of people who work for two types of governmental organizations asking them whether they prefer to receive their salaries based on their personal characteristics such as job experience, educational background and job performance. The results of our experience indicate that the people who participated in our survey mostly believe that the payment must be performed based on their performance and those who could contribute more must be entitled more in terms of their salaries. The preliminary results of our survey indicate that the payment system must be based on the level of education; work experiences and ob performance. In addition, the people who participate in our survey mostly believe that a transparent policy in payment system helps employees increase their motivation.
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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 | 0.002 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it