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Record W4233442861 · doi:10.24124/2019/59044

The Iroquois: voyageurs of the North-West and Oregon territories

2019· dissertation· en· W4233442861 on OpenAlexafffundabout
Michael A. Landry

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Northern British Columbia
FundersUniversity of British ColumbiaRoyal Roads UniversityUniversity of Northern British Columbia
KeywordsIndigenousFur tradeCivilizationArchaeologyAcculturationEthnologyHistoryGenealogyGeographyImmigrationEconomic historyEcology

Abstract

fetched live from OpenAlex

This thesis will posit that the Iroquois migrations into the Northwest and Oregon Territories are misunderstood in their interactions amongst both the Indigenous and frontiersmen. By Iroquois we specifically mean the French-speaking and Catholic Iroquois who settled in New France in Sault St. Louis (1680), Lac des Deux-Montagnes (1717) and in 1755 when the St. Régis Mission was established. After 150 years of acculturation (1650s to 1800s), these Iroquois had become a hybrid culture with a syncretic Catholicism. The Iroquois immigrated to the Saskatchewan River in 1799 to escape ‘improvements of civilization’ in the east and to follow the mode of life of their forefathers. Peter Fidler’s three versions of the Chesterfield House incident, where 14 Iroquois and 2 Canadiens were killed, will be analyzed to provide a new understanding of the role of the Iroquois as central actors in the fur trade rivalries.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.582
Threshold uncertainty score0.830

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 studies0.0130.006
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.005
GPT teacher head0.221
Teacher spread0.215 · 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
GenreOther

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
Published2019
Admission routes3
Has abstractyes

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