Tales of Terror in Québec Popular Cinema: The Rise of the French Language Horror Film since 2000
Bibliographic record
Abstract
Before the 2000s, the horror film was virtually non-existent in Canada's Francophone film industry. Over the past decade, however, the situation has changed drastically. The recent emergence of a crop of successful French-language horror films, including Éric Tessier's Sur le seuil (2003) and 5150 Rue des Ormes (2009), Philippe Gagnon's Le Poil de la bête (2010), Daniel Roby's La Peau blanche (2004), Daniel Grou-Podz's Les 7 jours du talion (2010), Robin Aubert's Saints- Martyrs-des-Damnés (2005), Pascal Laugier's Martyrs (2008) and Jean Beaudin's Le Collectionneur (2002), manifests a multiplicity of important transformations in Québec cinema in particular, and Québec society in general. This article suggests that the Québec horror film bears witness simultaneously to: (1) the productive diversification of the industry in the province; (2) the rise of filmic adaptations of popular literature as a viable practice; (3) the development of a critical perspective towards the traditional themes of Québec culture; and (4) the creative potential of co-production. These aspects position the cinematic tale of terror as one of the most informative objects of analysis in contemporary Québec film studies.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.008 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".