SOCIODEMOGRAPHIC DIFFERENCES IN PREVALENCE, INTENSITY AND PSYCHOSOCIAL CONSEQUENCES OF ADOLESCENT GAMBLING IN MOSTAR
Bibliographic record
Abstract
Introduction: Adolescents are a risk group to develop problem gambling considering growing up in the era of widespread gambling activities, what is confirmed by the increasing prevalence of gambling among young people. Their gambling activities can develop into pathological gambling with numerous and harmful psychosocial consequences over time and with intensification.Objective: The objective of this study is to determine the prevalence of different gambling activities (type and intensity), the rate of problematic gamblers and the psychosocial consequences of adolescent gambling in Mostar.Subjects and methods: A total of 402 participants (198 males and 204 females) -students of final grades of high schools in Mostar participated in the study. Average age of participants was 17. Data was collected by filling out questionnaires in which the Gambling Activities Questionnaire and Canadian Adolescent Gambling Inventory were applied.Results: Significant differences were found in the intensity of gambling, harmful psychosocial consequences and the risk of gambling in adolescents in regard to gender and school -young men from the Electrical Engineering School and Secondary Transportation School gamble more intensively and have more psychosocial consequences of gambling and show a higher risk for the development of problem gambling compared to girls and students who attend Gymnasium.Conclusion: This study confirms a relatively high prevalence of problem gambling among adolescents in Mostar and the differences in intensity, risks of gambling and harmful psychosocial consequences with regard to gender, school and age, which confirms the importance of establishing and implementing preventive programs.Keywords: gambling, adolescents, gambling intensity, gambling prevalence, psychosocial consequences
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".