[Kanashibari Phenomenon as a Sleep Disorder: Recurrent Idiopathic Sleep Paralysis].
Bibliographic record
Abstract
The phenomenon called kanashibari in Japan is otherwise known as sleep paralysis and, is an established symptom of narcolepsy. Its physiological correlate is an unusual occurrence of rapid eye movement (REM) sleep, i.e., sleep onset REM periods (SOREMPs). Various symptoms of the phenomenon are explained by the mechanisms of REM sleep. SOREMPs can be observed in various situations, which indicate a lower amplitude of circadian rhythms, such as during interupted sleep, acute reversal of sleep and wakefulness cycle, and disrupted sleep of depressive patients and in newborn babies. The lifetime prevalence of the phenomenon in the general population is as high about 40%. The phenomenon can be a mysterious and frightening experience far affected people and called as various names according to the folklore beliefs of local communities, e.g., nightmare in Europe, hexendrücken in Germany, cauchemar in France, and old hag in Newfoundland. Japanese college students are known for their very short sleep length and disturbed sleep wake rhythms. Many students claim to have experienced daytime sleepiness. Some of them meet the criterion concerning sleep latencies and frequency of SOREMPs for multiple sleep latency test (MSLT) as narcolepsy. SOREMPs are frequently seen in healthy college students with certain lifestyles. Practitioners should be cautious to diagnose narcolepsy if the student shows disturbed sleep wake schedules.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".