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Record W3155263170 · doi:10.7202/1076341ar

Le sociogramme de l’« Indien » chez James Fenimore Cooper et Jules Verne

2021· article· fr· W3155263170 on OpenAlexaffvenue
Maxime Prévost

Bibliographic record

VenueTangence · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Cette étude repose sur l’hypothèse voulant que l’oeuvre romanesque de James Fenimore Cooper constitue la matrice fondamentale de l’imaginaire transatlantique des Premières Nations. Le roman Le dernier des Mohicans (1826), en particulier, aurait joué un rôle déterminant dans la synthèse et la diffusion de mythes informant la conception euroaméricaine des populations autochtones. L’oeuvre de Cooper présente ainsi ce que la sociocritique appellerait un « sociogramme de l’“Indien” » : différentes réalités ethnologiques y sont représentées de manière contrastée, c’est-à-dire tantôt de manière négative, tantôt de manière positive, de sorte que les Leatherstocking Tales, pas plus que le roman Famille-sans-nom (dans lequel Jules Verne adapte et infléchit certains éléments des romans de Cooper pour créer une image fantasmatique de la Huronie), ne permettent une lecture univoque. La matrice essentielle de ce que Georges E. Sioui appelle « la vision linéaire eurogène » s’y trouve néanmoins.

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)0.002
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: Empirical
Teacher disagreement score0.357
Threshold uncertainty score0.718

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.013
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.018
GPT teacher head0.257
Teacher spread0.238 · 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

Citations1
Published2021
Admission routes2
Has abstractyes

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