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 widespread popularity of online games has raised concerns about addiction, which can affect physical and mental health. This paper explores the problem of online game addiction from physiological and psychological perspectives, with special emphasis on changes in brain activity and cognitive patterns. From a physiological perspective, online games stimulate the brain's reward system, and addictive behaviors are associated with alterations in the dopamine pathway as well as changes in brain regions such as the prefrontal cortex and ventral striatum. From a psychological perspective, gaming addiction is influenced by the perceived value of rewards in gaming, maladaptive gaming behaviors, reliance on gaming for self-esteem, and the search for social approval. Treatments for online game addiction mainly include cognitive-behavioral therapy (CBT) and pharmacological therapies (e.g., antidepressants), with the former helping to change maladaptive thoughts and behaviors. Future research should explore preventive measures from the perspective of game design, incorporate anti-addiction mechanisms, and strike a balance between entertainment and responsible gaming behavior.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| 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