Video game play as nightmare protection: A replication and extension.
Bibliographic record
Abstract
This inquiry is a replication and extension of a recent study with military gamers examining the thesis that playing video games might act as a type of nightmare protection. This hypothesis is based on the idea of a well-rehearsed defense due to game play, a numbing against violence, and the idea that memories in the 6 hours posttrauma are best interrupted with a visual cognitive task, like video game play. This replication was done using university students who had experienced a trauma in the past and had reported a dream associated with that trauma along with a recent dream. Controls were emotional reactivity and trauma history. We conclude that male high-end gamers seemed to be less troubled by nightmares while female high-end gamers were the most troubled by nightmares. So what differs between these two types of gamers? Three suggestions are considered: game genre, game sociability, and sex-role conflict. It seems that the nightmare protection hypothesis of video game play should be qualified to apply to male high-end gamers who play few casual games, play socially, and do not seem to experience sex-role conflict due to type of game play.
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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 | 0.012 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".