The effect of birth month on body height of Austrian conscripts varies according to educational level
Bibliographic record
Abstract
An association between birth month and height has been repeatedly described, but no consistent seasonal patterns can be observed. In this study, the significance of educational level as a modulating cofactor for the association between body height and birth month was analysed using an anonymous data set from 1,179,600 male conscripts born in Austria between 1971 and 2002. A distinct seasonal trend was observed. Conscripts born from June to December had shorter final body height than their counterparts born between January and May. In general, the effect of month of birth on final body height is very small. Considering socioeconomic co-factors, however, this effect was particularly noticeable for the highest and middle education classes, while the observed effect was small among the lowest education class. A low educational level seems to reduce the seasonal effect on growth and finally body height. Consequently, a clear seasonal effect in body height was observed in this Austrian population-based sample, socioeconomic stress factors, such as a low level of education, can reduce the seasonal effects.
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.
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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".