Emotion regulation, need satisfaction, passion and problematic video game play during difficult times
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
There is growing recognition of the role video games can play in helping people through challenging times, however many still argue that video game play can lead to adverse and problematic behaviours when relied upon to manage negative affect. This study sought to explore a number of factors that may play a role in influencing the likelihood one develops problematic habits of play, particularly in the context of difficult and stressful times. Specifically, this study utilised Self-Determination Theory and the Dualistic Model of Passion to explore the relationships between emotion regulation, psychological need satisfaction and frustration, passion for video games, and problematic video game play during times of difficulty and stress. A path analysis was conducted using data from 440 participants and found that, overall, emotion regulation may be associated with whether or not problematic play is likely to occur, particularly through its relationship with need satisfaction (and frustration) and video game passion.
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.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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