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Record W4404320576 · doi:10.1386/9781789389807_3

Architecture and Complexity, New Heterogeneous Spaces, and Old ‘New Media’

2024· book-chapter· en· W4404320576 on OpenAlexaboutno aff
Irena Latek

Bibliographic record

VenueMediated cities series. · 2024
Typebook-chapter
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectureComputer scienceComputer architectureGeographyArchaeology

Abstract

fetched live from OpenAlex

Irena Latek, Canadian architect and artist, is professor at the school of Architecture of l'Université de Montréal, director of the laboratory of research-creation « medialabAU ». Architect graduated from the Polytechnic School of Warsaw, she also studied at the University of Montreal. She was director of the Research Institute for the History of Architecture (IRHA) of Canadian Centre for Architecture, Université de Montréal and the University McGill from 1997 to 2000 and founding member of the Institute Art Culture Technologie of l'Université de Montréal (IACT). Irena Latek situates her research at the junction of architecture and the medias digital arts. The projects she has realized with the « medialabAU » team in video, or through interactive interfaces, take the form of installations questioning contemporary urbanities. She developed the « collage mouvant », an original method for the conception of architecture and the interpretation of space through video. Her work has been exhibited in Canada, Spain, Germany and France; notably she presented monographic exhibitions: Intervalles, Montreal, Cinémathèque québécoise, 2015-2016, Flux, Montreal, Centre d'Exposition, UdeM, 2015, Transporters Ecotopia —Utopia, Montréal, Centre d'Exposition, UdeM, 2009, Ubiquités publiques Desynchronized Public Spaces, Montréal, SAT, 2005, Espaces mouvants Soft Public Spaces, Montréal, SAT, 2003 and Barcelona, Galerie Ras 2004. Her work has been the subject of several articles and press reviews. She presents in a theoretical return her work in numerous articles, chapters of books and her monographic book, among which are: « Espacements ». In In situ / de visu / in motu. Architecture, cinéma et arts technologiques. edited by Irena Latek, Sophie Paviol, Clotilde Simond, and Françoise Very, Gollion: Infolio, 2014. « Sortie du cadre », In Perspectives sur la Perspective, edited by Philippe Cardinali and Marc Perelman, Paris: Fabula, 2017. Flux et Intervalles - Irena Latek. Montreal: Antheism-BookArt, 2017.

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)0.002
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.170
Threshold uncertainty score0.337

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0090.058
Scholarly communication0.0210.014
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.021
GPT teacher head0.189
Teacher spread0.168 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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