Sleep paralysis and the structure of waking-nightmare hallucinations.
Bibliographic record
Abstract
Sleep paralysis (SP) entails a period of paralysis upon waking or falling asleep and is often accompanied by terrifying hallucinations. These hallucinations constitute a waking nightmare (w-nightmare) REM experience and are the original referents of the term “nightmare.” W-nightmare hallucinations are described by a three-factor structure involving experiences consistent with 1) threatening intruders, 2) physical assaults, and 3) vestibular-motor (V-M) bodily sensations. The present study assesses the reliability of this structure and some of the underlying measurement assumptions using several large samples of w-nightmare experients. Causal modeling further elucidated the potential causal relations among the three types of hallucinations. The first two factors appear to be strongly thematically and sequentially linked by an underlying theme of threat and assault. The third factor is relatively autonomous but appears to be sometimes recruited into the threat and assault themes. A theoretical model is proposed that combines REM mechanisms, a threat activated vigilance system (TAVS), and a bodily-self neuromatrix (BSN), as generators and organizers of w-nightmare hallucinatory experiences. More generally, it is argued that these mechanisms underwrite two fundamental domains of conscious experience: the experience of an agent-inhabited world and that of a spatial-kinetic bodily self.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".