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RETHINKING HOUSING EDUCATION IN ARCHITECTURE SCHOOLS

2010· article· en· W1851286899 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Architectural Research: Archnet-IJAR · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture, Design, and Social History
Canadian institutionsMcGill University
Fundersnot available
KeywordsArchitectureCommodityHousing industryScope (computer science)Low income housingPublic relationsArchitectural engineeringEngineeringMarketingBusinessEngineering ethicsEconomic growthPolitical scienceComputer scienceEconomicsFinance

Abstract

fetched live from OpenAlex

Architects are involved in only a small percentage of all built projects and are becoming marginalized in the huge home-building industry where other professions are moving in to profit from the need for affordable housing. The vast majority of homebuyers today view housing as a commodity and are unwilling to spend more on an architect-designed house. Architects must expand the market for their services to include a far greater percentage of new buildings. It is my contention that the new place for architects is in the design of speculative housing as expert consultant to the developer. The practice of architecture must change emphasis to consider more social and economic concerns. The attitudes and skills currently being taught in architecture schools must change to reflect the new needs of the profession. Architects must be taught behavioral psychology, demographics, and building economics to enable them to apply their knowledge to the market, thereby rendering the architect’s services indispensable to developers and the housing industry. Architectural education must play a key role in redefining the scope of the profession.

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.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.005
Insufficient payload (model declined to judge)0.0010.000

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 head0.352
Teacher spread0.283 · 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