Mujeres emigrantes: La construcción de la identidad en Bharati Mukherjee y Sunetra Gupta
Bibliographic record
Abstract
espanolLa busqueda de una identidad en las escritoras emigrantes es uno de los principales objetos de estudio de los estudios postcoloniales en la actualidad. En este caso especifico, hay una interseccion de clase, genero y raza, puesto que se trata de explorar las divergencias en las que se encuentran dos escritoras angloindias radicadas en Gran Bretana, Canada y los Estados Unidos, en un proceso de autoexploracion y expurgacion de sus pasados y presentes. Tanto Bharati Mukherjee como Sunetra Gupta (respectivamente en Jasmine (1989) y Memories of Rain (1992), como ejemplos principales) intentan descifrar, a traves de sus protagonistas femeninas, el significado de alteridad y diferencia en sus propias ficciones pseudobiograficas, al mismo tiempo que recrean introspectivamente los contextos historicos hostiles y la soledad personal que las rodea EnglishThe search for an identity in migrant writers stands as one of the main motifs in the field of postcolonial studies. In this case it intersects with class, gender and racial construction, because the subject matter of this essay deals with exploring the divergences that two IndoEnglish women find in their need for self-questioning their pasts and demonizing their presents as exiled, third-world women living in Canada, USA, and Britain. Both, Bharati Mukherjee and Sunetra Gupta —specially in Jasmine (1989), and Memories of Rain (1992), respectively— try to decipher in their own fictional realms the meaning of alterity and difference through the alter-egoes of their female protagonists, facing therefore the historical contexts and personal solitudes of their diachronic introspective gaze.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.016 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".