Bibliographic record
Abstract
The article considers the attitudes of the school youth to different types of deviant behavior (alcohol, drugs, and smoking) based on the results of the longitudinal study conducted under the guidance of the author from 1998 to the present in twelve Russian regions: Astrakhan and the Astrakhan Region, Grozny, Ivanovo, Krasnodar, Maykop, Makhachkala, Moscow, Nazran, Nalchik, Pskov, and Stavropol. This study has no analogues in Russia or abroad being a part of the international project “Dialogue partnership as a factor of stability and integration” (“Bridge between East and West”) and of the program “Youth in poly-ethnic regions: Views, attitudes, and orientations” (the author is the initiator and head of the project and program) that for thirty years have monitored schools with a multi-ethnic composition of students. The monitoring aims to assess the development of values, attitudes and identity of the youth in different regions of the Russian Federation, the level of legal culture and how law-abiding the schoolchildren are, the protest activity and potential of younger generations, and the ways to develop appropriate and timely programs to prevent the youth’s deviant behavior and illegal actions. The results of the surveys conducted within the program “Youth in poly-ethnic regions: Views, attitudes, and orientations” were compared with other Russian and foreign studies and presented at the international scientific forums: World Congress of Political Science in Berlin (1994), World Congress of Sociology in Montreal (1998), Russian Sociological Congresses (2000, 2008), Humanitarian Forum “Younger Generations - Life without Borders” (2011), UNESCO International Forum “Dialogue as a Path to Understanding” (2013), and at the “Week of Science and Education for Peace and Development” (2017).
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".