ReFocus: The Films of Denis Villeneuve
Bibliographic record
Abstract
Québécois screenwriter and filmmaker Denis Villeneuve’s nimble creative spirit is reflected in his varied body of work. From the earlier, primarily French-language films that he wrote and directed – Un 32 août sur terre (1998), Maelström (2000), Polytechnique (2009) and Incendies (2010) – to the Canadian-Spanish coproduction of the enigmatic Enemy (2013), to his critically and commercially successful Hollywood films – Prisoners (2013), Sicario (2015), Arrival (2016), Blade Runner 2049 (2017) and Dune: Part 1 (2021) – Villeneuve explores questions of alterity and interculturality, of language and identity, of memory and forgetting, of violence and retribution. This volume engages with multiple aspects of Denis Villeneuve’s cinematic production, from his earlier auteur films to his major blockbusters. It provides a comprehensive analysis of several key aspects of his films, including technical elements (sound, score, shots, camera movements, editing, cinematic space, non-linear storytelling, temporality), cinematic representation of important themes (national and cultural identity; gender, maternity and reproduction; embodiment and memory; identity, alterity and subjectivity; time; monsters, aliens and Replicants; violence), and Villeneuve’s position as both a Quebec and Hollywood director. This volume achieves three main goals: firstly, it investigates the specificities of the formal and thematic elements of each of Villeneuve’s ten feature films; secondly, it explores Villeneuve’s identity position within two substantially different North American contexts (Quebec and Hollywood); and finally, it constitutes a significant contribution to film studies in its presentation of the works (including the films that received less critical attention) of this important director.
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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 | 0.001 | 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 | 0.009 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 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".