O możliwości pociągnięcia do odpowiedzialności karnej prezesa zarządu spółki handlowej z mniejszościowym udziałem Skarbu Państwa z tytułu popełnienia łapownictwa w sektorze publicznym (analiza na tle stanu prawnego wywołanego ustawą z 13.06.2019 r.)
Bibliographic record
Abstract
The article concerns the notion of the offence of bribery in the public sector. It assumes that this notion can be used not only with reference to the prohibited acts described in Articles 228 and 229 of the Criminal Code [CC], but also to some of the prohibited acts defined in Article 296a CC. The article also discusses the question whether it is expedient to amend Article 115(19) CC, that is, the provision that defines the notion of a person holding a public function. To this extent the author considers the quantitative criterion introduced by this amendment to be inadequate, because it guarantees less strict criminal liability of the entity managing a strategic company with a minority interest held by the State Treasury than that of an entity managing a non-strategic company where the State Treasury is the majority shareholder.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".