The Choking Game and YouTube: A Dangerous Combination
Bibliographic record
Abstract
PURPOSE: To study postings of partial asphyxiation by adolescents on YouTube and to increase awareness of this dangerous activity as well as the value of YouTube as a research tool. METHODS: Videos were searched on YouTube using many terms for recreational partial asphyxiation. Data were gathered on the participants and on the occurrence of hypoxic seizure. RESULTS: Sixty-five videos of the asphyxiation game were identified. Most (90%) participants were male. A variety of techniques were used. Hypoxic seizures were witnessed in 55% of videos, but occurred in 88% of videos that employed the "sleeper hold" technique. The videos were collectively viewed 173550 times on YouTube. CONCLUSIONS: YouTube has enabled millions of young people to watch videos of the "choking game" and other dangerous activities. Seeing videos may normalize the behavior among adolescents. Increased awareness of this activity may prevent some youths from participating and potentially harming themselves or others.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".