Basic Psychological Needs and Passion: Exploring Predictors of Problematic Video Gaming Behaviours
Bibliographic record
Abstract
Problematic video gaming is a growing concern across the world.Critically, when video gaming interferes with the pursuit of life goals or begins to negatively affect other life domains (e.g., work, school, relationships), they are described as problematic gaming behaviours.Researchers have linked problematic gaming behaviours to negative outcomes in a variety of contexts, such as university performance and mental illness.However, research is only beginning to examine why problematic gaming develops.I explored possible relations between psychological needs frustration, obsessive passion, and problematic gaming behaviours.A direct model and a mediation model were explored across 2 studies.Study 1 found a small effect of psychological needs frustration, and a large effect of obsessive passion, whereas the indirect effect was not statistically significant.Study 2 recruited a larger sample targeted towards gamers and replicated the direct effects of study 1 and found a significant indirect effect in the mediation model.Factors related to problematic video gaming Capaldi, J. S.
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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 | 0.002 | 0.010 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".