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Record W2773878868 · doi:10.1093/ahr/122.4.1221

Melinda Marie Jetté. At the Hearth of the Crossed Races: A French-Indian Community in Nineteenth-Century Oregon, 1812–1859.

2017· article· en· W2773878868 on OpenAlexaboutno aff
Lucy Eldersveld Murphy

Bibliographic record

VenueThe American Historical Review · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsDescendantScholarshipContext (archaeology)HistoryColonialismPoliticsNarrativeHearthAgency (philosophy)HistoriographyEthnologyGeographyArchaeologySociologyPolitical scienceSocial scienceLawArt

Abstract

fetched live from OpenAlex

A welcome addition to a growing body of scholarship on borderlands in North American history, Melinda Marie Jetté’s At the Hearth of the Crossed Races: A French-Indian Community in Nineteenth-Century Oregon, 1812–1859, joins other studies of communities in Canada, the U.S. Southwest, the lower Mississippi Valley, and the Great Lakes region that will allow for greater understanding of demographic changes in regions that experienced multiple waves of colonial migrations, particularly in the nineteenth century. Jetté, a descendant of the French-Indian families of the Oregon community known as French Prairie, situates her work in the context of this other scholarship, particularly of the U.S. West, where U.S. expansion was “a discordant, unsteady process,” often conflict-ridden but featuring “multilayered forms of accommodation and resistance” (5). This new study, she offers, “adds another layer to this story by highlighting the agency of French-Indian westerners responding to the social, political, and economic pressures that accompanied Anglo-American westward expansion and the sectional crisis during the antebellum period” (5). With this book, Jetté also seeks to revise the dominant narrative of early Oregon history, which tends to ignore the history of these multiethnic settlers in favor of the Astorians, the Whitmans (of Whitman Massacre fame), and the Oregon Trail.

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)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.411
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0100.003
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.041
GPT teacher head0.266
Teacher spread0.224 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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