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Record W4250225773 · doi:10.1017/cbo9781107045354

Pemmican Empire

2014· book· en· W4250225773 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCambridge University Press eBooks · 2014
Typebook
Languageen
FieldSocial Sciences
TopicArchaeology and Natural History
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsFur tradeCommodityEmpireGeographyEthnologyEconomyEconomic historyArchaeologyHistoryEconomicsMarket economy

Abstract

fetched live from OpenAlex

In the British territories of the North American Great Plains, food figured as a key trading commodity after 1780, when British and Canadian fur companies purchased ever-larger quantities of bison meats and fats (pemmican) from plains hunters to support their commercial expansion across the continent. Pemmican Empire traces the history of the unsustainable food-market hunt on the plains, which, once established, created distinctive trade relations between the newcomers and the native peoples. It resulted in the near annihilation of the Canadian bison herds north of the Missouri River. Drawing on fur company records and a broad range of Native American history accounts, Colpitts offers new perspectives on the market economy of the western prairie that was established during this time, one that created asymmetric power among traders and informed the bioregional history of the West where the North American bison became a food commodity hunted to nearly the last animal.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.474
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
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.019
GPT teacher head0.231
Teacher spread0.211 · 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