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Record W2035192576 · doi:10.1068/d19510

Imageability and Form in the Grande Bibliothèque du Québec: The Baroque as a More-Than-Representational Technique toward the Paradoxical Particularity of Experience in Space

2013· article· en· W2035192576 on OpenAlexafffundabout
Sean Robertson

Bibliographic record

VenueEnvironment and Planning D Society and Space · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsUniversity of Alberta
FundersMcGill University
KeywordsAestheticsPoliticsBaroquePerformativitySociologySpace (punctuation)Affect (linguistics)EpistemologyPhilosophyArtVisual artsLinguisticsPolitical scienceCommunicationLaw

Abstract

fetched live from OpenAlex

Because of an inattention to architectural form in building events, architectural geography has yet to fully explore the subjective aspects of the spatial politics of affect. And because of an analytical focus on the programming of affect, it has undertheorized affective styles which may unsettle the performativity of space. Architectural theorists call such spaces ambiguous or contradictory. They variously insist that baroque space is crucial to redressing individualism and capitalism insofar as it encourages relationality, democracy, and resubjectification. I take a more circumscribed approach to the more-than-representational and show that formal spatial ambiguity produces delight and provokes a paradoxical sort of looking, feeling(s), and thinking (ie, the particularity of experience). My argument is based on observant participation and interviews on the affective consistencies (here, in-betweenness) of perception, speed, and ascension in the Grand Bibliothèque du Québec. As for the political merits of the baroque, inasmuch as its tensions strike a contrast with the rhythm of the performativity of space, it must be considered a complement to more expressly representational attempts to wrest loose from the disciplinary doing of the world.

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)0.003
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: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.419

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.023
Scholarly communication0.0080.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.024
GPT teacher head0.302
Teacher spread0.278 · 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

Citations1
Published2013
Admission routes3
Has abstractyes

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Same venueEnvironment and Planning D Society and SpaceSame topicGeographies of human-animal interactionsFrench-language works237,207