Not Yet Game Over: A Reappraisal of Video Game Addiction
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
The rapid expansion of video gaming in an internet-using society has brought on a renewed focus on the phenomenon of video game addiction. Despite this focus, there remains a crucial absence of consensus over the diagnostic criteria of video game addiction. Currently both psychological and behavioral interventions regard screen time as an indicator of video game addiction. However, these interventions are challenged by substantial literature that increasingly regard time to not be a predictor of addiction. To build onto the work that has been done, this paper argues that time is an inadequate criterion in which to ascertain video game addiction, proposing that a physiological-based criteria be used in conjunction with contextualized understandings of video game dynamics to approach video game addiction. This realignment is all the more pressing as video games begin a transition from a leisure activity to its current orientation as a viable career option.
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 | 0.000 | 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) | 0.001 | 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