The Long History of CanLit’s New Globality, or: When The History of Emily Montague Became Canada’s First Novel
Bibliographic record
Abstract
Este ensayo aborda la «globalidad» de la novela de Frances Brooke The History of Emily\n\t\t\t\t Montague, fechada en 1769, como un medio para historizar el surgimiento aparentemente\n\t\t\t\t reciente de la literatura canadiense como un corpus literario globalizado. Argumento que\n\t\t\t\t las temporalidades complejas que entran en juego en la construcción de las tradiciones literarias\n\t\t\t\t nacionales han servido para oscurecer las líneas de continuidad en la globalidad de\n\t\t\t\t dos períodos clave en el campo: la institucionalización de la escritura anglófona canadiense\n\t\t\t\t después de 1960 como «CanLit», que goza de una cierta prominencia reciente en el ámbito\n\t\t\t\t cultural internacional, y la primera aparición en Canadá de la literatura, que siempre fue\n\t\t\t\t internacional en su forma y práctica. La novela de Brooke, publicada en Inglaterra un siglo\n\t\t\t\t antes de la Confederación canadiense pero habitualmente identificada como «la primera\n\t\t\t\t novela de Canadá», ocupa una posición privilegiada en ambos períodos y ofrece una oportunidad\n\t\t\t\t convincente para explorar la historia anacrónicamente larga de la reciente globalidad\n\t\t\t\t de la literatura canadiense contemporánea.
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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 | 0.020 | 0.013 |
| Scholarly communication | 0.016 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.017 | 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".