ПРОГРАМНО-ЦІЛЬОВИЙ МЕТОД У БЮДЖЕТНОМУ ПРОЦЕСІ: ЗАРУБІЖНИЙ ДОСВІД І МОЖЛИВОСТІ ЙОГО ВИКОРИСТАННЯ В УКРАЇН // Program-taget method in budget process: foreign experience and opportunities of its application in Ukraine
Bibliographic record
Abstract
Practice of using program-target methods in budget process in the USA, Canada, the Russian Federation, and such EU countries as Great Britain, Italy, Germany and France, has been considered as well as the suggestions directed at improving this budgeting method in Ukraine have been offered Розглянуто практику використання програмно-цільового методу в бюджетному процесі США, Канади, Російської Федерації, а також таких країн ЄС, як Великобританія, Італія, Німеччина і Франція та сформульовано пропозиції спрямовані на удосконалення даного методу бюджетування в Україні
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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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 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".