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Record W2768383261

Mobile Horizons: Art and Mobility at Montréal-Trudeau International AirportMobile Horizons: Art and Mobility at Montréal-Trudeau International Airport

2017· article· en· W2768383261 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCommposite · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsQueen's University
Fundersnot available
KeywordsHumanitiesPolitical scienceArtArt history
DOInot available

Abstract

fetched live from OpenAlex

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?

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.368
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.020
GPT teacher head0.247
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it