CRIMINAL LAW PROTECTION OF INDIVIDUALS FROM CYBERSTALKING
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
There is no doubt that crimes against individuals have a high degree of social danger, since they are aimed directly at causing harm to a person’s life, health, honor and dignity. Though in a rule of a law state, the protection of the individual is a paramount task, since a person, human rights and freedoms are the highest value in the state. The lack of norms ensuring the implementation of criminal liability for cyberstalking is in many ways an obstacle to the creation of a well-functioning mechanism for overcoming crisis phenomena in the criminal legal protection of individuals. The article examines the need to introduce criminal liability for cyberstalking in the Russian Federation. The authors analyze the norms of criminal legislation of foreign countries (India, Australia, USA, Canada, Germany), which provide liability for cyberstalking. Attention is drawn to the fact that the phenomenon under study carries a potential threat to the mental or physical state of the victim. In conclusion, the authors offer their vision of improving criminal legislation.
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 | 0.003 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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