Video Game Playing and Gambling in Adolescents: Common Risk Factors
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT Video games and gambling often contain very similar elements with both providing intermittent rewards and elements of randomness. Furthermore, at a psychological and behavioral level, slot machine gambling, video lottery terminal (VLT) gambling and video game playing share many of the same features. Despite the similarities between video game playing and gambling there have been very few studies that have specifically examined video game playing in relation to gambling behavior. This study inquired about the nature of adolescent video game playing, gambling activities, and associated factors. A questionnaire was completed by 996 (549 females, 441 males, 6 unspecified) participants from grades 7–11, who ranged in age from 10–17 years. Overall, the results of the study found a clear relationship between video game playing and gambling in adolescents, with problem gamblers being significantly more likely than non-problem gamblers or non-gamblers to spend excessive amounts of time playing video games. Problem gamblers were also significantly more likely than non-problem gamblers or non-gamblers to rate themselves as very good or excellent video game players. Furthermore, problem gamblers were more likely to report that they found video games, similar to electronic machine gambling, to promote dissociation and to be arousing and/or relaxing.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it