The influence of latitude and cloud cover on the seasonality of human births
Bibliographic record
Abstract
BACKGROUND: A previous study (Cummings, 2002), hypothesized that human birth seasonality was primarily related to environmental light intensity/photoperiod. PURPOSE: There are two primary goals: to explain seasonality differences between U.S., Canada, and Europe and to test the influence of environmental light intensity/photoperiod at divergent latitudes. METHODOLOGY: Existing seasonality data were extracted from previous studies at various locations throughout the world. Daily cloud cover amounts (clearness) were utilized as indices for environmental light intensity. DISCUSSION: Results were evaluated and discussed for each sub-study. CONCLUSION: Sub-study results support the hypothesis that human birth seasonality may be influenced by environmental light intensity and photoperiod. This conclusion is supported by logical links between increased light intensity/photoperiod and conceptions at different latitudes. Irrefutable proof may involve correlating long term changes in cloud cover with long term changes in human birth seasonality.
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How this classification was reachedexpand
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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".