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Record W4205370319 · doi:10.1215/00141801-9404136

Bannock Diplomacy: How Métis Women Fought Battles and Made Peace in North Dakota, 1850s–1870s

2022· article· en· W4205370319 on OpenAlexaffabout
Émilie Pigeon, Carolyn Podruchny

Bibliographic record

VenueEthnohistory · 2022
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsYork University
Fundersnot available
KeywordsDiplomacyScholarshipNegotiationCourageBattlePoliticsPolitical scienceHistoryGender studiesLawSociologyArchaeology

Abstract

fetched live from OpenAlex

Abstract Métis women have been neglected in scholarship because they are hard to find in historical records. Seeking out little-used sources and amplifying their voices in them demonstrate that they were significant figures in maintaining peace within their communities on the northern Great Plains in the mid- to late nineteenth century. Through their actions in battles and diplomatic negotiations, they showed themselves to be particularly skilled in conflict resolution. This article highlights two key instances in which Métis women used both courage and judiciousness to support their communities. The first is the 1851 Battle of Grand Coteau between the Yanktonais Sioux and a Métis and Anishinaabe bison-hunting party. The second is a Métis trading family negotiating with Lakota in the late 1870s through the actions of Sarah Nolin. In this article, we survey key historical moments in Métis women’s lives and experiences in the geography now known as North Dakota, exemplifying their approaches to diplomacy, conflict resolution, and political affirmation.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score0.456

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0220.010
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.029
GPT teacher head0.321
Teacher spread0.291 · 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 designQualitative
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
Published2022
Admission routes2
Has abstractyes

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