Strategia antykorupcyjna USA imperatywem bezpieczeństwa narodowego i ochrony demokracji na świecie
Bibliographic record
Abstract
Strategia antykorupcyjna USA imperatywem bezpieczeństwa narodowego i ochrony demokracji na świecie U.S. Strategy on Countering Corruption is an imperative of national security and protection of democracy in the worldIn the opinion of the authors, the anti-corruption strategy adopted for the first time in the history of the United States of America is an expression of the American administration's taking responsibility for combating corruption at the global level in order to protect its own interests and the democratic system, but also a legal tool to disseminate and unify political and institutional assumptions in democratic legal states.It will enable the reduction of transnational corruption and kleptocracy and facilitate the fight against pathologies often connected to corruption such as drug war, terrorism and money laundering.The U.S. strategy can serve as a model in developing the next anti-corruption strategy in the Republic of Poland.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.008 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.015 |
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".