A Pilgrimage to the West: Unsettling Images of India and Canada in Anita Desai’s “Winterscape"
Bibliographic record
Abstract
Dans “Winterscape” (2000), Anita Desai met en scène le court séjour à Toronto de deux sœurs indiennes, veuves, venues rendre visite à leur fils et neveu à l’occasion de la naissance de son propre fils. Le titre de la nouvelle fait référence à leur photographie prise lors de leur séjour, alors que, elles-mêmes vêtues de blanc, elles contemplaient l’hiver canadien. Cet article vise à montrer comment ce moment paradigmatique du monde contemporain, marqué par les circulations et les migrations, concentre la difficulté fondamentale qui réside dans l’échange des regards, de l’expérience, de l’histoire, et dans la traduction de ces différences. En recourant à cette image qui fixe la présence de l’Inde sur le sol canadien, la nouvelle impose un moment de suspens qui permet de fabriquer un imaginaire transnational où peut s’élaborer un récit commun.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.046 | 0.017 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".