La pluralité des points de vue dans "Les fous de Bassan" d'Anne Hébert, "Les derniers jours de Smokey Nelson" de Catherine Mavrikakis et "Les sangs" d'Audrée Wilhelmy
Bibliographic record
Abstract
The plurality of points of view is a narrative technique used very frequently in contemporary quebecois literature. It allows for a plot, an event or a character to be represented from diverse sensibilities and experiences. In this thesis, we study the plurality of points of view when it revolves around one same "core", meaning a common element that all focal characters share. In order to do this, we examine three novels that employ this process : Les fous de Bassan, written by Anne Hébert (of which the core is an event : the murder of the Atkins cousins), Les derniers jours de Smokey Nelson, written by Catherine Mavrikakis (of which the core is also an event : the murder committed by Smokey Nelson and his impending execution) and Les sangs, written by Audrée Wilhelmy (of which the core is a character : Féléor Barthélémy Rü). This analysis allows us to show the role of the plurality of points of view in the construction of the story, the reader's interpretation and the representation of the heterogeneity of experience. It also shows how the plurality of points of view manages to simplify and complexify the story at the same time ; it simplifies it by designating the core of the story unambiguously and by giving the reader all the necessary information to resolve the intrigue, and it complexifies it by giving the reader a plethora of information about different elements of the story, including the core, that sometimes contradict each other, which forces the reader into an active and complex interpretative work.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.016 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".