Natural variation in geomagnetic pulsations and preschool children's sleep disturbance and motor activity levels
Bibliographic record
Abstract
This study evaluated the putative association between fluctuations in preschool-aged children's motor activity level (AL) and fluctuations in the intensity of the earth's magnetic field, referred to as geomagnetic pulsations. A sample of 32 preschoolers wore two different types of activity monitors on their right ankles for five hours once a week for ten weeks. A measure of child's sleep was completed by each child's parent on the morning of each activity assessment. It was hypothesized that high-amplitude pulsations in the intensity of the earth's magnetic field would, by disturbing their sleep the night before, decrease children's AL. Sleep disturbance and AL measured on geomagnetically active days were contrasted with the same measures on geomagnetically quiet days. Three different thresholds for defining geomagnetically active days were evaluated. Regardless of threshold used, sleep disturbance was unrelated to differences in geomagnetic activity. However, when the highest threshold was used to define ageomagnetically active day and contrasted with the quietest day, AL was significantly lower on the geomagnetically active day. It is concluded that the evidence provides some tentative support for a link between geomagnetic disturbances, which are "rapidly varying perturbation to Earth's magnetic field" (National Academies, 2001), and activity level, but this link does not appear to be mediated by sleep disturbance.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".