Investigation of the employees’ payment system in an educational institution - A case study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Nowadays, wage and salary system form the most important issues in any society, and its phenomenon takes dimensions with an expansion of a public organization and NGOs. Organizations provide employees satisfaction through different pay programs, which force them to work down more with higher quality. In this paper, we consider a survey of the payment system in an Iranian university as a case study. The population of this study consists of the existing documents, observations, working managers, supervisors and experts. This study is carried out from the desired community based on the data collected for a period of 18 months and the sample size is about 97 people. We use descriptive statistics to analyze the descriptive data. We also use the one-sample Kolmogorove-Smirnov test, t-test and Friedman test for the questions. The results of the existing payment system show that there is no any good condition and the employee's attitude towards this system are negative based on the collected data. Finally, some suggestions are recommended to improve the existing situation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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