Bibliographic record
Abstract
Résumé À partir de films étrangers et de série B tournés à Montréal au cours des dernières années, cette conférence interroge le regard que pose le cinéma sur la ville, son architecture et son espace urbain en fonction des notions d’identité, de lieu mais aussi, et surtout, de non-lieu. Peut-on imaginer une ville indéfinie ou atopique ? Pour la plupart, ces films ne cherchent à représenter la ville, ils ne la montrent pas, ils ne la filment pas. Par commodité de tournage, Montréal est transformée en décor et en lieu de production. La ville reste à peine identifiable, interchangeable elle devient tour à tour le théâtre du crime, le lieu de l’horreur, un champ de ruines et de vestiges, où se déroulent autant d’intrigues et d’histoires d’espionnage, de tueurs, de flics, de guerres.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".