Reflexiones terminológicas en torno a la literatura francocanadiense Réflexions terminologiques autour de la littérature franco-canadienne Terminological approach to French Canadian Literature
Bibliographic record
Abstract
Con motivo de la reciente aparicion de cuatro obras en espanol sobre literatura francofona canadiense, este articulo quiere contribuir a difundir una presentacion de la misma como suma de cuatro variedades regionales, a saber: la literatura quebequesa, francoontariense, acadiense y francofona del Oeste. Desde una perspectiva terminologica se recuerda la necesidad de un empleo adecuado de los adjetivos que designan a cada una de estas variedades con el fin de evitar confusiones cuando no omisiones mas perjudiciales para unas que para otras. Con el fin de mostrar la variedad y riqueza de las restantes producciones literarias al margen de la quebequesa, bien conocida y estudiada, se presentaran los principales hitos referenciales en el estudio de las mismas. R ES U M EN PALABRAS CLAVE
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".