Nouvelle mestiza : une Mexican Gothic comme personnage-territoire à la croisée des genres
Bibliographic record
Abstract
Gloria Anzaldúa prédisait dès 1987 dans son ouvrage Borderlands/La Frontera l'émergence de « la nouvelle mestiza», une identité à l'intersection des cultures. Cet article étudie, dans une approche comparatiste avec Rebecca de Daphné Du Maurier (1938), l'exploitation de ce personnage-territoire par l'autrice mexico-canadienne Silvia Moreno-Garcia dans le roman d’horreur gothique Mexican Gothic (2020). Plus particulièrement, la question de l'usage des éléments fantastiques comme vecteur d'agentivité y est mise en perspective, avec le détournement des codes classiques du roman gothique européen et du réalisme magique latino-américain. Il s'agit également de noter l'influence d'un contexte social sur la construction identitaire des héroïnes mestizas, placées au centre de l’histoire, et de la critique postcoloniale sur la mise à la marge des personnages britanniques, renvoyés au second plan. La littérature « de l'imaginaire » apparaît, dans Mexican Gothic, comme un terrain liminal de choix entre deux aires socio-culturelles.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".