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Record W7100291748

Architectural History 355

2006· article· en· W7100291748 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicArchitecture, Modernity, and Design
Canadian institutionsnot available
Fundersnot available
KeywordsPavilionArchitecturePeriod (music)EclecticismHistory of architectureArchitectural design
DOInot available

Abstract

fetched live from OpenAlex

Culminating during the first half of the twentieth century, the modern movement in architecture can be described as the relinquishing of classical upbringings and a preoccupation with rational design solutions. The period occurring directly after the modern movement is generally referred to as the post-modern era and is arguably the era in which we currently live. Questioning the constructs that shaped the modern movement, architects of the post-modern age have characteristically placed greater attention to the specifics of site and location. For perhaps the first time in history, significant interest has been put into the impact of the building on the individual, the environment and on society. Post-modern architecture attempts to reestablish a link with the past, while approaching the emotional complexity of the times with an eclecticism that continues to produce great works of individuality. This paper will examine two buildings which clearly exemplify the characteristics of each of the aforementioned stylistic periods. Taking place during the transition period between modern and post-modern thought was the 1967 World’s Fair in Montreal. ‘Expo ‘67 ’ as it was named, presented a platform from which “nations could display their aspirations, characteristics and achievements”.1 In clear parallel to the architectural direction of the time, Expo was conceived as a showcase of diversity and innovation. Architect Jean Faugeron’s French Pavilion at Expo ’67 is a poignant example of mid twentieth century modern aesthetics.

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)0.000
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 score0.809
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.013
GPT teacher head0.183
Teacher spread0.170 · 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
Published2006
Admission routes1
Has abstractyes

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