FOREIGN EXPERIENCE IN THE PREVENTION OF YOUTH INTERNET DEPENDENCE
Bibliographic record
Abstract
The article analysis the world experience of the negative impact of Internet on young people. Summarizing foreign experience of Internet dependence prevention, we note that the most dangerous impact of Internet dependence on the socialization of young people in the world are: deteriorating relationships with family and friends, mood swings, aimless cyber surfing, «toxic communication», virtual shopping and virtual shopping. In turn, the analysis and further systematization of foreign experience of preventive and corrective measures in different countries and regions of humanity that first entered the information society, gave grounds to identify such areas as: preparation of the social environment for preventive work (national preventive and educational approach (USA, Japan); creation of specialized centers for comprehensive prevention through professional information, counseling social institutions and establishments that are forced to participate in prevention (USA, Netherlands, Taiwan), preparation for prevention of the family, which is perceived as capable of overcoming or, accordingly, preventing Internet addiction in all its manifestations (Japan, Taiwan), preparation for prevention Teachers of schools (Russia) Direct prevention of Internet addiction of young people, which is realized through the general development of human personality, spiritual improvement, intellectual dynamics, psychological education for self-regulation of youth, diversification of leisure (Canada, Netherlands, Russia, Taiwan).
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".