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Thinking the Other

2005· article· en· W1531569551 on OpenAlexafffundabout
Tania Martin, André Casault

Bibliographic record

VenueJournal of Architectural Education · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité Laval
FundersUniversité Laval
KeywordsDiversity (politics)Space (punctuation)SociologyCitizen journalismProcess (computing)Participatory designCultural diversityArchitectural engineeringGeographyEngineering ethicsEngineeringPolitical scienceAnthropologyComputer scienceLawOperations management

Abstract

fetched live from OpenAlex

How can design professionals preserve cultural diversity? A team of graduate students and professors at Université Laval worked with the Innu of Uashat mak Mani-Utenam, a group of First Nations peoples in Quebec, to develop modern housing prototypes that responded to their climatic and cultural needs. Recounting the experiences of those involved in this participatory design process, the authors comment on the challenges in intercultural design and discuss the resulting architectural solutions, hybrids of traditional and modern values. Reminiscent of the ubiquitous North American bungalow, subtle differences in the organization of space, construction details, and materials distinguish these prototypes as particularly “Innu.”

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)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.075
Threshold uncertainty score0.250

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0100.017
Scholarly communication0.0170.011
Open science0.0020.008
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0750.020

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 head0.024
GPT teacher head0.312
Teacher spread0.288 · 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.

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

Citations19
Published2005
Admission routes3
Has abstractyes

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