Retrouver les voix autochtones : L'hommage de Jean-Marie Gustave Le Clézio à Rita Mestokosho
Bibliographic record
Abstract
« [La poésie de Rita] est pleine de cette puissance féminine qui imprègne les peuples anciens, Haïdas du nord-ouest du Canada, ou Aïnous du nord du Japon – la voix des chamanes, la voix des conteuses. Quelque chose de calme et d´incorruptible qui s´ouvre sur l´avenir. C´est une parole qui ne revendique pas, qui n´exige pas. Grâce à cet amour et à ce partage, la poésie de Rita s´adresse à nous tous, où que nous soyons dans le monde, quelles que soient nos origines et notre histoire » (préface de Jean-Marie Gustave Le Clézio)[1]. Il s´agit de montrer ici comment cet hommage de J.M.G Le Clézio, lors de son discours de réception du prix Nobel de littérature en 2008, donne l´occasion à cette voix minoritaire de résonner et d´être traduite dans plusieurs langues. La langue est ce qui crée un espace commun, ce qui fait lien : la langue maternelle, celle de la terre, est l´innu tandis que le français est la langue commune à un public plus large. [1] Rita Mestokosho, Eshi Uapataman Nukum, Hur jag ser på livet mormor, Göteborg, Beijboom Books AB, 2010, p. 10. Nous noterons J.M.G le prénom de Le Clézio lorsqu´il sera mentionné dans la suite de l´article.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".