MétaCan
Menu
Back to cohort
Record W2072409320 · doi:10.1162/10464880252820028

1:1 @ Carleton University School of Architecture

2002· article· en· W2072409320 on OpenAlexaff
Michael Jemtrud, Yvan Pier Cazabon

Bibliographic record

VenueJournal of Architectural Education · 2002
Typearticle
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsCarleton University
Fundersnot available
KeywordsStudioSpeculationArchitectureDesign studioVisual artsSociologyCurriculumArchitectural engineeringComputer scienceEngineeringPedagogyArt

Abstract

fetched live from OpenAlex

There exists a long-standing tradition of full-scale construction in the design studio at the Carleton University School of Architecture. The mantra “building as speculation” is explicitly evoked in varying studio and workshop contexts, ubiquitous within the fabric of the curriculum and design culture of the school. The value placed on 1:1 material engagement and construction techniques is qualified by an understanding of drawing (traditional and technological) as a form of critical, theoretical, and practical speculation. “Building speculations” at Carleton, in other words, are not constrained to conventional notions of design/build, but occur freely in the studio as a form of “sketching” or “modeling” that informs a wide range of design activities. Supported by a fully equipped metal and wood shop and photographic, video, and digital facilities, the “build” tradition at Carleton continues to adjust and transform according to the demands of architectural pedagogy.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.781
Threshold uncertainty score0.313

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0070.003
Scholarly communication0.0110.003
Open science0.0020.006
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.7810.486

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 head0.005
GPT teacher head0.172
Teacher spread0.166 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Architectural EducationSame topicArchitecture and Computational DesignFrench-language works237,207