¿Estancias desiertas": la construcción femenina de la diáspora postcolonial angloindia
Bibliographic record
Abstract
espanolLos estudios de la construccion de la identidad se inscriben en las ultimas tendencias criticas postcoloniales, dentro de las teorias de la subalternidad y de las intersecciones de clase, genero y raza. En este caso se deconstruye la escritura de relatos de mujeres emigrantes del subcontinente indio, residentes en Canada y Estados Unidos. Se analizan, pues, en este articulo las tensiones entre el primer mundo y el tercer mundo, la forma en que estas mujeres reescriben su propia historia para exorcizar los problemas sociales y raciales con que se encuentran, asi como la desmitificacion de su propia personalidad en quiebra para reconstruirla nuevamente de una forma mas solida y autoconsciente EnglishThe quests for the construction of an identity merge from the last critical tendencies on postcolonialism, inside the theories of subaltern and class/gender/race studies. In this case, there is a deconstruction of the short-story telling written by migrant women from the Indian subcontinent, living in Canada and the United States of America. Not only the tensions between the first world and the third world are studied in this essay, but also the way in which these women rewrite their own story to exorcize social and racial problems and, finally, the unveiling of their own broken personalities to reconstruct them again, in a more solid and self-conscious way
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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 | 0.001 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".