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Record W633941233 · doi:10.5860/choice.47-7079

The American military frontiers: the United States Army in the West, 1783-1900

2010· article· en· W633941233 on OpenAlexaboutno aff

Bibliographic record

VenueChoice Reviews Online · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsAmerican westPolitical scienceHistoryEthnology

Abstract

fetched live from OpenAlex

Winner of the 2010 Robert M. Utley Award from the Western History AssociationAs the fledgling nation looked west to the land beyond the Appalachian Mountains, it turned to the army to advance and defend its national interests. Clashing with Spain, Britain, France, Mexico, the Confederacy, and Indians in this pursuit of expansion, the army's failures and successes alternately delayed and hastened western migration. Roads, river improvements, and railroads, often constructed or facilitated by the army, further solidified the nation's presence as it reached the Pacific Ocean and expanded north and south to the borders of Canada and Mexico. Western military experiences thus illustrate the dual role played by the United States Army in insuring national security and fostering national development.Robert Wooster's study examines the fundamental importance of military affairs to social, economic, and political life throughout the borderlands and western frontiers. Integrating the work of other military historians as well as tapping into a broad array of primary materials, Wooster offers a multifaceted narrative that will shape our understanding of the frontier military experience, its relationship with broader concerns of national politics, and its connection to major themes and events in American history.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.755
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.032
GPT teacher head0.356
Teacher spread0.325 · 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 designNot applicable
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

Citations12
Published2010
Admission routes1
Has abstractyes

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