ДАВЛАТ ХИЗМАТЧИЛАРИ ФАОЛИЯТИ САМАРАДОРЛИГИНИ БАҲОЛАШДА ХОРИЖИЙ МАМЛАКАТЛАР ТАЖРИБАСИ
Bibliographic record
Abstract
One of the priorities of any public policy is to increase the efficiency of public service, in particular, the effectiveness of public servants. In this regard, a lot of work has been done in our country, in particular, a number of tasks have been identified to develop important performance indicators necessary to evaluate the performance of employees of ministries, departments and other government agencies. This article presents the experience of developed countries, such as Germany, the USA, Great Britain, Canada and Russia, in assessing the effectiveness of public servants and using modern methods of motivating them in accordance with their productivity. In particular, in recent years, information has been provided on the system of performance indicators (KPI), which is widely used in foreign countries not only in the private sector, but also in the public sector, on the basic principles of the system, and the stages of implementation of the efficiency system.
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.
How this classification was reachedexpand
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.013 |
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; both teacher heads 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".