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Record W2332307003 · doi:10.1086/ahr.111.5.1476

BRUCE VANDERVORT. Indian Wars of Mexico, Canada, and the United States, 1812-1900. (Warfare and History.) New York: Routledge. 2006. Pp. xvii, 337. $34.00

2006· article· en· W2332307003 on OpenAlexaboutno aff
Paul H. Carlson

Bibliographic record

VenueThe American Historical Review · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryEconomic historyClassics

Abstract

fetched live from OpenAlex

In this thoughtful and well-crafted book, Bruce Vandervort focuses mainly on American Indian wars in the region west of the Appalachian Mountains from the War of 1812 to the end of the nineteenth century. Attention to Mexico and Canada is, in comparison, limited, and its findings stated with less confidence, but Vandervort writes in some detail about the second Seminole War, 1835–1842, in Florida—east of the Appalachian chain. The latter was a struggle that created a host of problems for the American military and, he argues, was the longest Indian war in the United States. The author maintains that the Indian wars were “an integral part of a global pattern of imperial conflict” (p. 19). Although the argument for imperial conflict in North America is unconvincing, one of the many great strengths of the book is that Vandervort places the Indian wars in wide perspective, comparing them with military confrontations elsewhere in the world. In the United States, however, imperial designs of the government played no significant role in the ultimate defeat of western Indians. Indeed, government troops sometimes, as in the case in Indian Territory, moved to protect Native Americans from whites. Moreover, westward-moving pioneers overran the West with such aggressive speed and in numbers large enough that Indian people, at least in the long run, could not compete, even absent larger imperial designs. In other words, with or without government protection or support in the form of a large army, such groups as traders, precious metal miners, railroad builders, farmer-settlers, and others, often carrying diseases to which Indian people had little or no immunity, brushed Native Americans aside. Indian people fought hard and well, as Vandervort shows, and they often gave the army and its soldiers more than the U.S. military (or the Canadian or the Mexican armies) could handle, but, again, in the United States Anglo population numbers alone meant that Indian people, without government support and treaty guarantees, had no chance to hold on to their large domains. Contemporaries knew it; cattlemen especially understood it, and thus many of them for selfish reasons, such as grazing opportunities, supported Indian efforts to preserve Native American lands.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.441
Threshold uncertainty score0.888

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.010
Science and technology studies0.0040.002
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0340.009

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 head0.247
Teacher spread0.228 · 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
Published2006
Admission routes1
Has abstractyes

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