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Record W2891671857 · doi:10.7202/1051384ar

Politicking for Postwar Modernism: The Architectural Research Group of Ottawa and Montreal

2018· article· en· W2891671857 on OpenAlexvenueaboutno aff
Dustin Valen

Bibliographic record

VenueUrban History Review · 2018
Typearticle
Languageen
FieldEngineering
TopicArchitecture, Modernity, and Design
Canadian institutionsnot available
Fundersnot available
KeywordsModernism (music)ExhibitionGovernment (linguistics)Nature versus nurturePolitical scienceGovernment OfficePublic administrationSociologyMedia studiesAestheticsHistoryArt historyLocal governmentArt

Abstract

fetched live from OpenAlex

The diffusion of modernist principles in Canadian building and planning occurred through many channels, but among these the Architectural Research Group of Ottawa and Montreal played a crucial role. Formed in 1938 to conduct research into postwar reconstruction, the group produced articles, radio addresses, and exhibitions in an effort to nurture modernist sentiment across the country. For these young architects, the federal government’s commitment to replanning and rebuilding postwar Canadian cities presented them with an opportunity to intervene in the future of Canadian practice. They decried the “backwardness” of conservative practitioners while promoting the ideas of a European avant-garde and orchestrating numerous transatlantic exchanges. This article discusses the group’s role in politicking for architectural and urban modernism, as well as the contributions of some of its key members. It shows that Canadian professionals were not simply passive receptors of international modernism but played an active part in shaping these ideas during the immediate postwar period, and that Canada’s federal government played a unique role in accelerating this process by allowing modernist architects and planners to operate within and through a number of government-sponsored agencies.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.981
Threshold uncertainty score0.472

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.069
GPT teacher head0.286
Teacher spread0.216 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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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