Retorno de “La novia más fragante”: reterritorialización del castellano en el Canadá de Alejandro Saravia
Bibliographic record
Abstract
Este artículo argumenta que el poeta canadiense-boliviano, Alejandro Saravia, en su Lettres de Nootka (2008), reterritorializa la lengua castellana en Canadá haciendo memoria de las exploraciones españolas. Se centra en la lectura del poema “Cartas de Nootka” y su fondo histórico: el choque en el siglo XVIII de los imperios español y británico, así como el de ambos con la cultura indígena, en la costa occidental de lo que hoy en día es el Canadá. Evocando la historia y geografía canadienses en castellano, Saravia logra sugerir una nueva manera de ‘escribir en canadiense’.Return of “The Most Fragrant Bride”: Reterritorialization of Spanish in the Canada of Alejandro SaraviaThis article argues that the Bolivian-Canadian poet Alejandro Saravia, in Lettres de Nootka (2008), reterritorializes the Spanish language in Canada by recalling the Spanish explorations here. “Cartas de Nootka” is read against its historical background: the collision between the Spanish and British empires, as well as that of both with indigenous culture, on the west coast of what is now Canada. By evoking Canadian history and geography in Spanish, Saravia manages to achieve a new way of ‘writing in Canadian’.Il ritorno de “La novia más fragante”: riterritorializzazione del castigliano nel Canada di Alejandro SaraviaL’articolo s’ incentra sulla lettura della poesia “Lettere di Nootka” e del suo contesto storico: lo scontro nel XVIII secolo tra l’impero spagnolo e quello britannico, e di entrambi con la cultura indigena, nella costa occidentale dell’attuale Canada. Evocando in castigliano la storia e la geografia canadesi, Saravia suggerisce un nuovo modo di ‘scrivere in canadese’.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.008 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".