The Short and the Tall: Comparing Stature and Socioeconomic Status for Male Prison and Military Populations
Bibliographic record
Abstract
ABSTRACT Over the last four decades, historians and social scientists have become increasingly interested in the way in which information about stature might be used to explore the impact of environmental factors on the physical growth and well-being of past populations. A particular problem encountered by many researchers is that height data is only available for selected populations, typically military recruits or those admitted to correctional institutions. Evidence from Australian military and prison records demonstrate how the two social groups, soldiers and prisoners, differed from each other and from the wider population in terms of age, birthplace, occupation, and stature. Different patterns of observable characteristics conceal additional differences in intergenerational experience. We trace male prisoners and soldiers born between 1870 and 1899 in Tasmania to their birth records and thence to the marriages of their parents. This allows us to contrast social and occupational change from father to son for both prisoners and soldiers. We conclude that evidence arising from these institutionalized populations can be used to estimate wider societal trends, although caution needs to be exercised.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".