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Record W7074105068

Francophone Poetics in Tension: Intuition, Relation, and Exiguity from Senghor to Canadian Minority Voices

2025· article· en· W7074105068 on OpenAlexaboutno aff

Bibliographic record

VenueJournals & Books Hosting (International Knowledge Sharing Platform) · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsnot available
Fundersnot available
KeywordsFrenchPoeticsIntuitionTransculturationCognitive dissonancePostcolonialism (international relations)
DOInot available

Abstract

fetched live from OpenAlex

This article explores a dynamic comparative framework between African and Canadian Francophone literatures, focusing on Léopold Sédar Senghor’s poetics of intuition and its resonances with minority writing in Canada. By introducing the concept of co-poetics, the essay investigates the aesthetic interplay of rhythm, opacity, and marginality across postcolonial and diasporic contexts. Drawing on the philosophies of Bergson and Glissant, the article analyzes how authors such as Abla Farhoud, France Daigle, and Rodney Saint-Éloi engage with multilingualism, fragmented memory, and the tension between language and identity. Far from forming a unified vision, these literatures articulate dissonance as a creative force and exiguity as an epistemological stance. The result is a plurivocal “poetics of the edge” that redefines Francophone writing beyond national or linguistic centers. This article contributes to postcolonial literary theory by offering co-poetics as a conceptual tool to map intercultural resonances between African and Canadian literary margins. Keywords: Francophone literatures, Senghor, minority writing, co-poetics, exiguity, postcolonial theory DOI: 10.7176/JAAS/84-06 Publication date: July 31st 2025

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)0.003
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: Other · Consensus signal: none
Teacher disagreement score0.084
Threshold uncertainty score0.371

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0350.030
Scholarly communication0.0110.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.022
GPT teacher head0.267
Teacher spread0.244 · 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
Published2025
Admission routes1
Has abstractyes

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