Bibliographic record
Abstract
The purpose of this article is to study the theoretical and applied aspects of bullying prevention in foreign countries and on the basis of a comprehensive analysis of foreign experience, to develop proposals for effective measures to prevent bullying in Ukraine. Methodology. Methodological tools are selected in accordance with the purpose, specifics of the object and subject of research. In the process of research the dialectical method of scientific knowledge of social and legal phenomena in their contradictions, development and changes is used, which allows to objectively assess the level and effectiveness of bullying prevention in Ukraine; formal-logical method, by means of which elements of the legal mechanism of violence prevention are revealed; comparative law method is used in the analysis of current legislation and international regulations. The theoretical basis of the publication were the works of domestic and foreign scientists on aspects of bullying prevention. The scientific novelty of the publication is that it outlines the main measures to prevent bullying in foreign countries. A number of recommendations have been proposed that can be used in precautionary measures for bullying and victim assistance. Conclusions. Given the catastrophic growth of this phenomenon in the country, there is an urgent need for constant updating of guidelines for teachers and psychologists to prevent bullying in schools. On the example of such countries as Sweden, Great Britain, Finland, the United States, Spain, Norway, Canada, Japan, it is necessary to introduce special programs in the field of educational activities, the purpose of which is to educate young people in the spirit of tolerance, democracy and human needs. attitude to their peers and other positive aspects. In tandem with numerous legal mechanisms, such an approach will make it possible to eradicate bullying not only in practice but also in the minds of Ukrainian society
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".