THE PROBLEM OF SMOKING AMONG STUDENTS OF THE MODERN GENERATION
Bibliographic record
Abstract
Smoking is one of the harmful and common habits among students. In addition to causing irreparable harm to the health of smokers and their environment, this habit prevents boys and girls from developing age-appropriate behavioral attitudes toward a healthy lifestyle and slows down personal and moral growth. Unfortunately, in the minds of young people, smoking is not considered a deviation. Public morality in our country is tolerant of smoking. At the same time, in number of countries smoking is recognized as a form of deviant behavior. Smokers are identified with drug addicts, neurotics, air polluters, and fire makers. Much remains to be done in society to strengthen the idea in the minds of people, and above all, students, that “a smoker is a person who has certain defects in culture and behavior.” If the prevalence of smoking remains at its current level, the mortality rate from smoking in the second quarter of the 21st century will be 10 million people annually. About half of these deaths will occur in the middle age category (40-60 years). Those people who must die today are still children or adults starting their lives. The loss of their life expectancy is about 20 years. According to research by psychologists, the most common reasons for student smoking are imitation of older friends, especially those whom one would like to be like (including parents); the desire to appear mature and independent; the desire to “be like everyone else” in a smoking company. The reason for smoking in some cases is the strict prohibition of parents, especially in cases where the parents themselves smoke.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".