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Record W4390915478 · doi:10.1163/9789004691131_005

American Francophone Literature: Quebec, Martinique, Haiti

2024· book-chapter· en· W4390915478 on OpenAlexaboutno aff
Petr Kyloušek

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicCaribbean and African Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsMartiniqueFrenchCentralityAutonomyField (mathematics)CriticismPolitical scienceHistorySociologyGeographyWest indiesEthnologyLawArchaeology

Abstract

fetched live from OpenAlex

This subchapter characterizes the deperipheralization dynamics of three American Francophone spaces: Quebec, Haiti, and Martinique, including the fundamental differences among them resulting from anthropological and historical constraints. The analyses trace a number of constants: the evolution of language and authority over language, the building of public institutions (schools and universities, theaters, libraries), the development of magazine and book markets (periodicals, book publishing, criticism), and the impact of deperipheralization processes on aesthetics and aesthetic concepts. In this comparison of these three Francophone literary fields, differences among them are highlighted: Quebec literature has constituted its own centrality and has become a reference absorption point for a number of peripheries; regarding the autonomy of Haitian literature, the field remains somewhat fragmented among Haiti, Quebec, the USA and France; Martinique and Antillean literature, which is asserted mainly within the framework of Parisian centrality as a specific part of the French understanding of Francophonie, appears to be the least autonomous.

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)0.000
metaresearch head score (Gemma)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.034
Threshold uncertainty score0.247

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0090.003
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.009
GPT teacher head0.193
Teacher spread0.184 · 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
Published2024
Admission routes1
Has abstractyes

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