The effects of a brief recuperative nap on vigilance and the speed-accuracy trade-off
Bibliographic record
Abstract
Sleep deprivation can impair a number of cognitive faculties.Daytime napping has been proposed as way to remediate the negative consequences of sleep deprivation.Yet the evidence that short naps improve cognitive performance is limited.The goal of the current work was to examine the potential recuperative effects of a nap on alertness using a Psychomotor Vigilance Task (PVT) and perceptual decision-making in a speed-accuracy trade-off (SAT) task while recording magnetic fields from the cortex with magnetoencephalography (MEG).Two groups received 3 hours of sleep, but only one had a 20-min nap prior to testing.The nap appeared to have a small improvement on reaction time in the PVT.However, the nap had no apparent effect on performance in the SAT task, nor did it affect a perceptual index of information processing as measured by MEG.These findings suggest that a short-term nap might improve alertness but not necessarily decision-making processes.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".