Are Poor Sleepers Afraid of the Dark? A Preliminary Investigation
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
No studies have investigated whether those with poor sleep are aware of being uncomfortable in the dark via subjective inquiry, and no study has evaluated whether poor sleepers have increased fear in the dark using objective indices (e.g., a validated startle paradigm). Good and poor sleepers (N = 108) completed questionnaires about their level of discomfort with the dark and were evaluated for an increased startle reflex by measuring eyeblink latency via electrooculogram in response to unexpected noise in the dark and the light. Participants listened to bursts of unexpected white noise, while in counterbalanced light/dark conditions. Relative to good sleepers, more poor sleepers reported increased discomfort in the dark. There was a significant lighting × time × sleeper status interaction for eyeblink latency. Relative to the first trial in the dark, eyeblink latency in good sleepers increased in the second dark exposure; suggesting habituation in the dark. Eyeblink latency in poor sleepers did not decrease. Thus, poor sleepers reported being uncomfortable in the dark and they remained more easily startled in the dark over the course of the study. It is unclear if the dark may predispose people to sleep problems, or if sleep problems sensitize poor sleepers to fear darkness.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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