"Ser testigo es necesario": la poética política de Margaret Atwood / «Witness is What You Must Bear»: Margaret Atwood’s Poetic Politics
Bibliographic record
Abstract
RESUMEN La relación entre literatura y compromiso político es una preocupación central de la escritora canadiense Margaret Atwood (Ottawa, 1939) que no se limita a su obra literaria, sino que se completa y reafirma con su militancia en organizaciones como Amnistía Internacional. Desde su dimensión como autora comprometida con la defensa de los derechos humanos, este ensayo presenta una aproximación a la poética política de Margaret Atwood a través del comentario de sus colecciones de poemas publicadas en las décadas de los setenta y de los ochenta. Del análisis de dichos poemarios se desprende que la política, entendida como la organización humana del poder, es un aspecto esencial para comprender su obra, pese a que muchos críticos hayan ignorado el contenido socialista y democrático de su producción literaria. Palabras claves: Margaret Atwood, Literatura Canadiense, Poesía política, Literatura y poder, Literatura y derechos humanos, Política canadiense, Foucault. ABSTRACT The relationship between literature and politics is a central preoccupation for the Canadian writer Margaret Atwood, which is not restricted to her literary works, but is, rather, completed and reaffirmed by her belonging to organizations such as Amnesty International. Approaching Atwood as a writer who is engaged with the defence of human rights, this essay explores her collections of poetry published in the Seventies and Eighties. The analysis of these collections proves that, although critics have usually ignored the democratic-socialist content of Atwood’s writing, politics is an essential issue to understanding her works. Key words: Margaret Atwood, Canadian Literature, Political poetry, Literature and power, Literature and human rights, Canadian politics, Foucault.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.028 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 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".