Lower educational level remains associated with lower body height among Austrian conscripts born from 1961 through 2002
Bibliographic record
Abstract
Growth patterns and final body height are influenced by genetic and socio-environmental factors. A major impact of education on growth has been documented. Body height increases with an increasing educational level.The present study focuses on the association patterns between body height and educational level among 1,734,569 Austrian male conscripts aged 17 to <19 born between 1961 and 2002. Four levels of education were classified to examine their association with body height. Over 42 years, the percentage of conscripts at the lowest educational level decreased dramatically from 37.5% to 1.7%. All educational classes showed increasing body heights over time. Despite a marked improvement in the living standard, body heights at different educational levels did not converge. In Austria, educational and social advancement was associated with higher population body heights. Young men at the lowest educational level, however, remain shorter and their body height gap to the highest educational level has widened.
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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 | 0.000 |
| 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".