Organizational model of suicide (bullycide) or its attempts in educational institutions: Analysis of foreign experience
Bibliographic record
Abstract
An epidemic of suicide is spreading in the world, which, according to UNICEF, has become the third most common cause of death for young people aged 15-19. Typically, one school suicide affects about 135 people around the suicide, leading to suicide clusters, mental disorders, and other dangerous consequences. At present, Ukraine has developed a scientifically sound set of tools for diagnosing suicidal ideation, early intervention, and crisis intervention in case of suicide attempts, in particular in educational institutions. At the same time, fasting as psychological support for affected groups and individuals remains the most minor developed part of the suicide prevention system in educational institutions. The article aims to analyze foreign models (protocols) of suicide and determine the directions of development of the domestic model of post-support of the staff of the educational institution in which the suicide (bullycide) or his attempt occurred. Protocols of preventive measures developed and applied as models in five countries are analyzed: Australia, Great Britain, Belgium, Canada, USA. According to the results of the analysis, invariant (which are in all protocols) and variable (which are in some, but not in other protocols) components of the structure are distinguished. Invariant components of postvention protocols are creating a crisis team responsible for crisis response, early development, and creation of crisis response routes, early training of relevant specialists, chronological regulation of postvention process, normalization of behavior, standardization of behavior, communication, and social space organization. Variable components primarily reflect the community’s cultural, socio-economic, political-psychological specifics for which the protocol is developed. Creating a suicide protocol (bullycide) adapted to domestic realities or trying to commit it in an educational institution will reduce the destructive impact of a suicide episode on people at risk, including the likelihood of suicide clusters, retraumatization of the immediate environment, etc.; will contribute to the faster normalization of the socio-psychological climate in the educational institution and its return to normal operating conditions
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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 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".