Mobile Horizons: Art and Mobility at Montréal-Trudeau International AirportMobile Horizons: Art and Mobility at Montréal-Trudeau International Airport
Bibliographic record
Abstract
En tant que non-lieux, les aeroports generalement ne se pretent pas a une appreciation de l'art d'une facon qui ne precede pas immediatement le deplacement. Une meilleure comprehension des regimes visuels de l'art en ce contexte, pourtant, permettrait d'eclairer les facons dont l'Etat gere la mobilite des individus, ainsi que les flux mondialises de capitaux. Prenant l'aeroport international de Montreal-Trudeau comme etude de cas, je considere comment les evocations fluides de ses ecrans numeriques, ainsi que les abstractions fragmentees de ses espaces contribuent a l'identification de la ville de Montreal comme marque. L'art contemporain fonctionne ici comme l'une de plusieurs spheres privilegiees du non-lieu de l'aeroport et vice-versa. Les corps suivent a la fois signes et images, mais au sein de limites determinees par l'Etat et les interets transnationaux. Comment s'engage l'art a Montreal-Trudeau face a ces interets? Comment est-ce que le renforcement mutuel de l'art et de la mobilite impacte l'invisibilite de ceux que l'Etat immobilise?
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.015 | 0.013 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.034 | 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".