A brief report of sleep and circadian rhythm quotas in a population of dog owners in North Carolina, USA
Bibliographic record
Abstract
ABSTRACT Objectives To characterize sleep and circadian rhythms of a sample population of healthy, dog-owning adults from North Carolina, USA. Methods Actigraphy was used to analyze sleep-wake patterns in forty-two dog owners from the Raleigh area in North Carolina. Sleep quotas, including sleep duration, efficiency, and fragmentation were measured alongside a Non-parametric Circadian Rhythms Analysis (NPCRA) to quantify strength, consistency, and fragmentation of rhythms. Results Compared to females, males demonstrated later sleep onset and sleep end ( p <0.01), greater wake after sleep onset and sleep fragmentation ( P <0.001), and lower sleep efficiency ( p <0.001). The NPCRA revealed comparable relative amplitude (strength) and interdaily stability (consistency), yet less intra-daily variability (fragmentation), than previously reported post-industrial samples. Conclusions This study adds to the current data available on sleep and circadian rhythms in discrete human populations and highlights the need for more research characterizing cross-cultural sleep and circadian rhythmicity.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".