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Record W4400888888 · doi:10.30682/aa2412o

Evolving Perspectives: the resurgence of wood in Quebec architecture

2024· article· en· W4400888888 on OpenAlexaboutno aff
Gianpiero Moretti

Bibliographic record

VenueARCHALP · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsArchitecturePavilionIndustrialisationParadigm shiftDominance (genetics)Architectural engineeringIndustrial RevolutionCornerstoneUrbanizationEngineeringCivil engineeringPolitical scienceHistoryEconomic growthEconomicsLawArchaeology

Abstract

fetched live from OpenAlex

Over the past two decades, Quebec has undergone a radical transformation in its approach to using wood in architecture, spurred by trade constraints on wood exports to the United States. This evolution is the outcome of synergistic efforts that have facilitated a transition resulting in significant technological and architectural advancements. Historically, Quebec’s vast forest resources have played a pivotal role in the development of local timber construction, particularly through traditional timber frame techniques. However, the 19th century witnessed a shift towards light-frame construction methods like the Balloon Frame, driven by industrialisation and urbanisation. By the mid-20th century, concrete gained dominance, the fruit of prioritising aesthetics over ideology in architectural design, especially in Montreal, where concrete structures flourished. The 1980s trade dispute with the United States marked a turning point, fostering innovation and a paradigm shift in wood use. Collaboration between industry and academia, exemplified by the Krüger Pavilion and the founding of FP Innovations, has propelled large-scale wood construction forward. Cecobois further supports this trend by facilitating access to technological innovations. This era of change highlights both the potential and limitations of wood in architecture, showcasing its role as a versatile and eco-friendly material that can enhance architectural design while facing technical challenges that sometimes limit its visibility and application.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.916
Threshold uncertainty score0.426

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 studies0.0000.001
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 head0.010
GPT teacher head0.254
Teacher spread0.244 · 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
Published2024
Admission routes1
Has abstractyes

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