How many identities can dance on a maple leaf?. La escritura de Marlene Nourbese Philip en el contexto de la Postmodernidad
Bibliographic record
Abstract
La tesis es un estudio analítico de la obra literaria y teórica de la escritora afrocaribeña afincada en Canadá Marlene Nourbese Philip según teorías postcoloniales y posmodernas. Tras algunas consideraciones sobre la estructuración y enfoque del estudio, y una primera aproximación al contexto actual de la literatura y la comunidad canadiense afrocaribeña, el texto elabora una sucinta arqueología de la posmodernidad y establece unos principios para una "literatura posmoderna" que se aplicarán al corpus literario analizado. El análisis posterior pone de manifiesto la pertinencia de combinar etiquetas relacionadas con lo posmoderno con una literatura aparentemente minoritaria como es la de Philip, una literatura, por lo demás, marcada por el deseo de combatir el endémico racismo de que adolece la sociedad canadiense, y consagrada a hallar caminos de representación de la subjetividad de todo un colectivo: el de las mujeres afrospóricas de origen caribeño que viven en Canadá.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.014 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".