Bibliographic record
Abstract
dans son roman Cantique des plaines (1993), nancy Huston aborde de facon innovatrice une panoplie de themes, entre autres : la narration, le feminisme, le postcolonialisme, l’americanite, l’identite et l’amour. or, la romanciere reserve un traitement subtil a un theme d’autant plus complexe qu’il est inhabituel : la question du temps. Ce n’est donc pas une coincidence si l’auteur a choisi un roman historique pour se pencher sur la facon dont les occidentaux concoivent le phenomene du temps. tandis que Paddon, fils d’un immigrant irlandais dans l’alberta du XXe siecle dont la vie est le pretexte du Cantique, revele les aspects theoriques de ce «sujet en or pour sa these de doctorat : l’histoire du temps — une analyse des conceptions et descriptions humaines du temps a travers les âges» (40)1, c’est le personnage de Paula, en tant que narratrice, qui met en scene les consequences pratiques d’une telle recherche. Mais d’abord, quelle est la facon habituelle dont les occidentaux concoivent le temps? quelle est «la question du temps»? C’est l’enigme de la Genese, relevee dans ses lectures de saint augustin, qui amene Paddon a entrevoir dans la cosmogonie chretienne l’existence meme d’une question : quelle temporalite precedait les paroles par lesquelles dieu a cree le ciel et la terre, c’est-a-dire par lesquelles dieu aurait «mis en marche» le temps ? dans le passage suivant, ou la portion en italiques serait augustin s’adressant a dieu, Paula delimite le terrain exact sur lequel son grand-pere construira sa theorie :
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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 | 0.001 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
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".