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
Abstract: the need of society for the prevention of offenses is realized by the legislator by the adoption of laws on countering and preventing offenses. The main directions of state policy in the fight against crimes and administrative offenses, such as corruption, extremism, terrorism, illegal migration, illicit drug trafficking, environmental security offences, juvenile delinquency and others, as reflected in the accumulated regulatory framework in this area, including the priority of a preventive approach to offences before punishing them, make it possible to state the need to form a new branch of law – preventive law. The article proposes the institutional structure of preventive law, justifies the allocation of four of its institutions: subjects and other persons of the prevention of offenses, the main areas of prevention of offenses, types of prevention of offenses, forms of preventive influence. The pre-established institutional structure of preventive law stemming from the laws governing preventive legal relations, it will appear as a structural model for the law enforcement officer, as well as the legislator, allowing the latter to approach the improvement of preventive legislation with a systemically important orientation of regulatory legal acts
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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