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Record W2298583890 · doi:10.3138/chr.3337

Contesting Civilization: Louis Riel's Defence of Culture at the Collège de Montréal

2016· article· en· W2298583890 on OpenAlexvenueaboutno aff
Max Hamon

Bibliographic record

VenueCanadian Historical Review · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousCivilizationColonialismSovereigntyElitePoliticsIdentity (music)SociologyGender studiesPolitical scienceMedia studiesHumanitiesEnvironmental ethicsLawAestheticsArtPhilosophy

Abstract

fetched live from OpenAlex

A newly discovered manuscript of a debate between two college students sheds new light on Louis Riel's experience in Montreal. By the time the young Métis left Montreal, he was an accomplished public speaker with a sophisticated understanding of Canadian society and culture. This article argues that Riel's education was not isolating and frustrating but, rather, encouraged him to engage with public issues and moral reform. It demonstrates that Riel, in responding to the debate sparked by Jean-Jacques Rousseau, could engage meaningfully with Western theories of civilization. This debate is examined in the light of mid-nineteenth-century elite Catholic education, missionary and colonial thought, the nature of the civilizing mission, and Riel's theories of political sovereignty. Tracing Riel's unique intellectual genealogy provides insight into the diverse and dynamic ways Indigenous people experienced colonialism. Finally, it offers a critique of the “colonial archive,” particularly when it comes to Indigenous identities. Ultimately, Riel was a successful student who could act as an exemplar of “Western civilization” while confidently maintaining his own identity as an Indigenous person.

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)0.002
metaresearch head score (Gemma)0.004
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: Empirical · Consensus signal: none
Teacher disagreement score0.090
Threshold uncertainty score0.652

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0130.018
Scholarly communication0.0070.002
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.234
Teacher spread0.214 · 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
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

Citations2
Published2016
Admission routes2
Has abstractyes

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