Demographic implications of social deviations of Russian youth
Bibliographic record
Abstract
The article provides an assessment of the demographic losses among Russian youth due to social deviations – suicides, murders, alcohol and drug poisoning compared with the countries of the “old” (before May 2004) and the “new” (after May 2004) European Union. It has been shown that in Russia and in Europe over the past 30 years, the contribution of losses due to deviant behavior to the total mortality of young people has increased, but in Russia this undoubtedly preventable factor has been of special significance. Currently, this factor causes more than a third of the total mortality of young men in our country and almost a quarter of their contemporaries. The evolution of the structure of losses caused by social deviations testifies to multidirectional processes in Russia and Europe. If both in the "old" and in the "new" European Union the importance of suicides increases, in Russia there is damage with uncertain intentions. In essence, due to this vague diagnosis, underreporting of deaths from alcohol and drug poisoning, suicides and murders is masked – in general, from one third to 100% of cases. This means that the death rate from social deviations in Russia compared to the EU is even more than official statistics show.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".