Bibliographic record
Abstract
Drug use is a behaviour frequently seen among adolescents. The World Drug Report draws attention to the increase in this phenomenon. The studies were undertaken to look for determinants that promote drug use and those that protect against reckless activities. It seems important to determine the causes of drug initiation. The presented study aimed to identify the determinants favouring first contact with drugs among adolescents. Eighteen respondents participated in the study. Purposive sampling was used and data were collected using categorized interviews. The exploratory nature of the interviews focused on obtaining information on three areas: family life, peer influences and the role of mass culture products. Education, financial background, and inquiries about life plans, dreams, and their realization were also recorded. The analysis of empirical data made it possible to establish interesting factors conducive to the respondents’ first contact with drugs both in the family environment, peer environment, but also related to popular culture, lifestyle, the influence of significant others, as well as to the dangers of the Internet. Established causes of drug initiations are indicated. The obtained results can be used in designing preventive interventions among adolescents. They can also be the basis for planning further studies with this group.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 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 | 0.001 |
| 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".