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Record W2523944017

Power Struggle in the Old Northwest: Why the United States Won and the Indians Lost the Indian War, 1786-1795

2008· article· en· W2523944017 on OpenAlexaboutno aff
Brian Isaac Krieger

Bibliographic record

VenueNCSU Libraries Repository (North Carolina State University Libraries) · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicArchaeology and Natural History
Canadian institutionsnot available
FundersNorthwestern University
KeywordsPower (physics)HistoryAncient historyEconomic historyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

After the American Revolution, an influx of white settlers into the Old Northwest threatened to upset the balance of power that had existed in the region for decades. Various Indian tribes, frontiersmen, the United States government, and the British in Canada all sought to exercise military, economic, and political control over the Old Northwest. Flawed connections within and between groups who lacked the ability or willingness to compromise, shaped the brutal nature of the war and posed an obstacle to peace negotiations. Over the course of the conflict, internal power struggles weakened the western Indian confederacy and their British "allies." Contrarily, the ability of the federal government to improve relations with the frontier militias paved the way for an American victory at the Battle of Fallen Timbers, ensuring U.S. control of the region. After the Treaty of Greeneville, the inability of Indians and Americans to overcome their differences hampered assimilation, resulting in further native resistance and their forced removal westward. Studying the Indian War in terms of power shifts and relationships offers a thorough picture of this seminal conflict, while identifying how factors such as race, culture, and politics affected the war and its aftermath.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.710
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0080.015
Scholarly communication0.0000.002
Open science0.0020.001
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 head0.007
GPT teacher head0.180
Teacher spread0.174 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2008
Admission routes1
Has abstractyes

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