Emergindo de uma nuvem: A posição discursiva Inter-Americana da Literatura Hispano-Canadense
Bibliographic record
Abstract
Este artículo defiende la tesis según la cual la literatura hispanocanadiense acusa diferencias cualificativas frente a la que se produce en castellano en EE.UU., examinando dos representativas antologías de cuentos escritos en español, una de cada país. La metáfora del archipiélago cultural/literario se invocará y se lo contextualizará dentro del modelo teórico de los estudios interamericanos y contra el ejercicio forjador de un canon que ha realizado la Norton Anthology of Latino Literature (2011). Se argumentará que la literatura hispanocanadiense, más que un mero epifenómeno del importante fenómeno latino-estadounidense, se destaca cualitativamente, en buena parte gracias a la diversa situación histórica y geocultural del Canadá en el hemisferio americano.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.107 | 0.002 |
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; both teacher heads agree on what is shown here.
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".