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Record W4377247348 · doi:10.1017/aaq.2023.15

An Army Marches on Its Stomach: Comparing Military Provisioning across North American Sixteenth- to Nineteenth-Century Forts

2023· article· en· W4377247348 on OpenAlexfundno aff
Martin Welker, Nicole Mathwich

Bibliographic record

VenueAmerican Antiquity · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsnot available
FundersParks CanadaPennsylvania State UniversityUniversity of Pennsylvania
KeywordsProvisioningAdaptabilityGeographyColonialismNationalityAgency (philosophy)ZooarchaeologyLivestockEcologyHistoryEthnologyArchaeologyBiologySociologySocial scienceEngineeringImmigration

Abstract

fetched live from OpenAlex

Abstract Military garrisons in North America were provisioned with a diet based primarily on domesticates. A relationship between colonial diets and nationality has been an assumed truism, encouraging the belief that colonial diets were static and predetermined by European norms and leading to devaluation of colonists’ adaptability and agency. We challenge that perspective using zooarchaeological data on soldiers’ diets at 49 American fortifications in North America. Statistical comparisons reveal that some sites relied heavily on provisioned livestock, while others did not. Dietary patterns were significantly impacted by accessibility, length of occupation, garrison size, and local infrastructure. This evidence suggests that reliance on wild game was an adaptive response to local environmental and cultural factors influencing the accessibility of preferred domesticates, regardless of nationality.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.032
GPT teacher head0.293
Teacher spread0.261 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2023
Admission routes1
Has abstractyes

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