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Record W2808422833 · doi:10.1386/jcs.7.1.32_1

Montréal plus ou moins, 1972: Urban Knowledge Meets Conceptual Attitude

2018· article· en· W2808422833 on OpenAlexaffabout
Johanne Sloan

Bibliographic record

VenueJournal of Curatorial Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsExhibitionEveryday lifeVisual artsPresentation (obstetrics)The artsUrban spaceUrban planningAestheticsSociologyArtSpace (punctuation)ArchitectureArt historyPolitical scienceEngineeringCivil engineeringRegional scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

Abstract The 1972 exhibition Montréal plus ou moins, curated by the architect Melvin Charney, treated the city’s Museum of Fine Arts as a kind of urban laboratory. Displays created by activist groups as well as artists expressed critical views on Montreal’s urban planning, housing and architectural heritage, while the ambition to reclaim the everyday space of the city resonated with the contemporaneous urban theorizing of Henri Lefebvre. By also featuring performance, give-away artworks, the presentation of documents, and moments of institutional critique, Montréal plus ou moins successfully merged conceptual art strategies with countercultural urban activism.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.143
Threshold uncertainty score0.287

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.014
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.000

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 head0.099
GPT teacher head0.361
Teacher spread0.262 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes2
Has abstractyes

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