Bibliographic record
Abstract
Hors champ (Offscreen) is a collection of short stories and poems that offers rewrites of striking works of contemporary Quebec literature from 1960 to the present. In this collection, the literary legacy is problematized by the bursting of the source of hypotexts. Thus, the rewriting is done by recovering certain formal characteristics of source texts, while putting forward new thematic content. The texts relate to many affiliations, offering not a static and overwhelming posterity, but rather an active heritage, fragmented and drawing from several sources — as Quebec literary heritage does. The stories in the collection do not clearly announce their hypotext but rather begin with an epigraph, as a way to play with the readers’ expectations. The architecture of the collection does not respect the chronological order of hypotexts, and short stories from the same source are not grouped together. Aquin demeure (Aquin remains) compares two contemporary Quebec novels : Ça va aller by Catherine Mavrikakis and Pourquoi Bologne, by Alain Farah. Starting from the observation that the figure of Hubert Aquin exerts a spectral presence on Quebec literature and has bequeathed a problematic and paradoxical legacy to posterity, the project aims to see what readings of this aquinien heritage the works of Mavrikakis and Farah offer. The analysis of Ça va aller begins with a comparative study of the two authorial figures whom are being presented : Hubert Aquin and Robert Laflamme, an avatar of Réjean Ducharme. The study seeks to show how Aquin’s literary legacy is unattainable for the narrator while the analysis of Pourquoi Bologne focuses on the rewrite of Prochain épisode. With Genette’s notions of intertextuality and hypertextuality, the study attempts to determine whether it is possible to consider Pourquoi Bologne a text in the second degree.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.034 | 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; 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".