La littérature des Premières Nations
Bibliographic record
Abstract
Notre présentation s ́attachera à évaluer les stratégies éditoriales des écrivain-e-s des Premières Nations au Québec en analysant la manière dont ceux-ci s ́adressent à un lectorat plus large grâce à l ́usage d ́une langue de communication, en l ́occurrence le français pour le cas des communautés innues au Québec. L ́hypothèse proposée est celle de l ́usage de la fiction pour faire passer un message proprement politique liée à la survivance d ́une culture minoritaire dominée historiquement et socialement. En nous appuyant sur les analyses de Jacques Derrida sur l ́éthos de la survivance et sur la réflexion de Homi K. Bhabha sur la pensée de la décolonisation, nous souhaiterions montrer en quoi cette littérature rend visible et sensible une forme d ́ethnopoétique originale. Presentationen analyserar två författarinnor från Québec, Rita Mestokosho och Naomi Fontaine, som använder franska språket för att kunna nå en bredare publik. De illustrerar en "decolonial" tendens när de hänvisar till hur Innu samhället försöker skydda ett sätt att leva. The presentation examines the way the writers of the First Nations in Canada deal with the issue of survivance which implies a collective resilience. It is based upon a comparison between the first novel of Naomi Fontaine, Kuessipan(2011)and the poetry of Rita Mestokosho collected in How I see Life, Grandmother, Eshi Uapataman Nukum, Comment je perçois la vie, grand-mère(2011). Both writers share the paradigm of decoloniality with a minimalist aesthetics to express the beauty of the Innu way of life.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.069 | 0.007 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".