« Ta mère est dans tes os » : Fae Myenne Ng et Amy Tan ou le passage des savoirs entre la Chine et l’Amérique
Bibliographic record
Abstract
Deux romans de jeunes Chinoises-Américaines, Bone de Fae Myenne Ng et The joy Luck Club d'Amy Tan, illustrent à merveille une nouvelle tendance de la littérature américaine : l'émergence d'un nouveau corpus d'oeuvres rédigées en anglais par des immigrants de première ou de deuxième génération. Occupées à concilier un passé chinois qu'elles ne connaissent qu'à travers les récits de leurs parents et un présent américain dans lequel elles s'inscrivent en quelque sorte de biais, les protagonistes de ces romans ont à passer de la Chine à l'Amérique, du chinois à l'anglais, de l'oral à l'écrit. Il est également question de la manière dont le rapport à l'héritage chinois (et à la mère qui en est l'emblème) donne lieu à une construction identitaire complexe et mobile, le tout imprimant au roman sa forme particulière.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.017 | 0.016 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".