Measuring Problem Online Video Gaming and Its Association With Problem Gambling and Suspected Motivational, Mental Health, and Behavioral Risk Factors in a Sample of University Students
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
Recently, the issue of problem online video game playing and its potential connection with problem gambling has drawn increased attention. Although conceptually similar to many behavioral addictions, there is still no clear consensus on how to best measure and assess problem video game playing. This study validates one proposed measure of problem video gaming—the Problem Video Game Playing Test (PVGT)—in a Canadian undergraduate university student sample. Multivariate results indicate that problem video gaming is positively associated with the average length of time spent gaming, social alienation, and online gaming motives such as competition, escape, coping, recreation, and socializing; but, contrary to the gateway hypothesis, problem gambling and several of its mental health correlates—depression, anxiety, and stress—are not associated with problem video gaming as measured by the PVGT. Limitations and implications of this analysis are discussed.
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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) | 0.000 | 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 | 0.000 |
| 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