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Record W3003290071 · doi:10.3138/jcs.2018-0035

Playing <i>l’avocate du diable</i>: The Case against Worlding “French Canadian” Literature from Québec

2019· article· en· W3003290071 on OpenAlexvenueaboutno aff
Marie Vautier

Bibliographic record

VenueJournal of Canadian Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsManifestoContext (archaeology)NewspaperHumanitiesFrenchSociologyHistoryArt historyArtMedia studiesPolitical scienceLawArchaeology

Abstract

fetched live from OpenAlex

As a professor of comparative literature in French from Quebec and in English from English-speaking Canada, I am not at all convinced by the project of worlding contemporary Québécois literature. Discussions of this matter are usually found under the umbrella expression “littérature- monde” in France. Taking into account the manifesto published in the newspaper Le Monde in Paris in 2007—and reprinted in Montreal’s daily for intellectuals, Le Devoir, a few days later—I will argue that the case made for “littérature-monde” in the French-speaking world is conceived of in terms that are not applicable to Québécois literature in French. The usual symbolic structures that underlie this discourse ( centre/ périphérie; Nord/ Sud; littérature des Blancs contre celle des Noirs) are not appropriate to Québécois literature in French, given, among other elements, the very strong “institution littéraire” that has existed in the territory for at least the last 60 years and actually for a longer period of time. I will base my arguments in part on the manifesto and on contributions found in the book Pour une littérature-monde (2007) , published some months after the manifesto, and then contextualize them in the light of more recent contributions to the discussion. This article contains five parts: the professor, the context, the manifesto, reactions to the manifesto, and “Le cas du Québec,” in which I suggest an alternative model.

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 score0.211
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.227
Teacher spread0.211 · 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

Citations1
Published2019
Admission routes2
Has abstractyes

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