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Record W6986871840

Review of <i>Arc of the Medicine Line: Mapping the World'sLongest Undefended Border across the WesternPlains</i> By Tony Rees

2009· article· en· W6986871840 on OpenAlexaboutno aff

Bibliographic record

VenueLincoln (University of Nebraska) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Health, Geopolitics, Historical Geography
Canadian institutionsnot available
Fundersnot available
KeywordsDominionFellBoundary (topology)EmpireCommissionBoundary lineMaritime boundaryBay
DOInot available

Abstract

fetched live from OpenAlex

By 1872 Britain, the United States, and the Dominion of Canada had many reasons to map officially the international boundary along the 49th parallel, a line that Native Americans would come to associate with "medicine" for its power to halt the pursuit of law. Britain and the U.S. both desired to resolve lingering issues as Canada embraced independence. {The northern survey party was officially the British North American Boundary Commission.} While the U.S. Northern Boundary Commission advanced the Northern Pacific Railroad, Canada gathered information to plan and build a transcontinental railroad. With the line they drew astronomically, these surveyors, according to Tony Rees, would help "draw the long course of empire in North America to a close." Rees narrates the work of the dual independent boundary commissions season by season through the exploits of their surveyors. Using massive zenith telescopes, star catalogs, compasses, and chronometers, the two commissions leapfrogged one another to establish astronomical stations for boundary calculations every twenty miles. The Plains, Rees concludes, " ... was {and still can be} a place where no report could be dismissed as just a tall tale." Dressed in sealskin, Hudson's Bay coats and blankets, buffalo robes, Native-made snowshoes and moccasins, using oxen and dogs, the men lived through _200 to _400 below zero Fahrenheit temperatures and bouts of snowblindness. One group survived by "beating each other with sticks" to free their legs, which had been "instantly encased in a thick coating of ice" after they fell into a creek. The region also served up sweeping prairie fires, swarms of mosquitoes, locusts, black flies, killing horseflies, and wild wind, rain, and dust, as well as "large numbers of sandhill cranes."

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.090
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.011
Science and technology studies0.0030.004
Scholarly communication0.0050.006
Open science0.0040.003
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0070.004

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 head0.025
GPT teacher head0.305
Teacher spread0.280 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2009
Admission routes1
Has abstractyes

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