Bibliographic record
Abstract
(Re)Garder la route is a research-creation thesis examining contemporary Quebecois road novels and their feminine declination through a hypermedia-driven literary creation. \n\tBy studying three novels, Chercher le vent by Guillaume Vigneault (2001), La foi du braconnier by Marc Séguin (2009) and Le fil des kilomètres by Christian Guay-Poliquin (2013), the student seeks to demonstrate that the road quest allows for a form of personal redemption leading the protagonist to find himself, after being lost. This literary subgenre features stylistic devices and narrative strategies that stem film’s take on the original road novel. Consequently, the three novels have been analyzed formally, mytho-poetically and with a particular interest in the visual tropes and the relationships between the protagonist, his immediate environment, and the proverbial “other”. \n\tThe resulting creative work is in fact a resonant rewriting of the Québec road novel, as reimagined through a feminine experience, both interactive and literary, of the road. The hypertextual work draws on visual cues and actual lines from the original texts. The resulting creation seeks to subvert the expectations associated with the stereotypically masculine environment of the road by allowing for a strong, creative feminine point of view. The creative work, available online on a platform created specifically for the project, includes visual, textual and auditory material enticing the reader to lose himself, as the protagonist does, on the road.
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 | 0.001 | 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 | 0.009 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 0.005 |
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".