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Record W3047173537 · doi:10.1017/ssh.2020.14

The Short and the Tall: Comparing Stature and Socioeconomic Status for Male Prison and Military Populations

2020· article· en· W3047173537 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSocial Science History · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsSocioeconomic statusPrisonDemographyPopulationGeographyCriminologySociology

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.869
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.069
GPT teacher head0.246
Teacher spread0.176 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it