L’écrivain fictif au Québec et dans l’oeuvre de Gérard Bessette
Bibliographic record
Abstract
Since the Ancient World, artists are used to represent themselves in their works and this\nkind of representations clearly surpasses the limits of a self-portrait. We are now living in\nthe period of extreme narcissism and individualism when personal intimacy is spread in all\nkinds of Medias. It can’t be surprising that the figure of the creator is still in the middle of\ninterest of literary production in Quebec and everywhere else. From 139 novels published in\nQuebec during the literary season 2009, 10 percent is based on fictional writer. One of the\nmost productive Quebec writers obsessed by the figure of the writer was Gérard Bessette,\nan important Quebec author, literary critic and university professor who played a big part in\nthe evolution of the Quebec literature. Fictions from his first, traditional cycle are introducing\nthe nascent writer; fictions from his second, modern cycle are substituting the fictional\nwriter by the fictional storyteller; and his latest postmodern cycle fictions are going back to\nthe fictional writer approaching his own death. The writing character is getting older according\nto his originator. Nevertheless, he is always the same.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.050 | 0.004 |
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".