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Record W7066430297

Good Clean Living: Calgary Modern 1947â1967

2000· article· en· W7066430297 on OpenAlexvenueaboutno aff

Bibliographic record

VenueArchivaria · 2000
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsnot available
Fundersnot available
Keywordsnot available
DOInot available

Abstract

fetched live from OpenAlex

This article reviews the exhibition Calgary Modern 1947–1967 at the Nickle Arts Museum, University of Calgary. The exhibition examines modern architecture during a critical period of growth in a city whose history is largely defined by progressive, optimistic modernism. The exhibition is organized around eight related areas: introduction, office, housing, house, worship, education, leisure, and infrastructure. The article contends that Calgary Modern 1947–1967 was imaginatively and cleanly designed. The exhibition is complemented by a publication of the same name. RÉSUMÉ L’exposition Calgary Modern 1947-1967, tenue au Nickel Arts Museum del’université de Calgary, porte sur l’architecture moderne au cours d’une période critique de croissance d’une cité dont l’histoire est largement définie par un modernisme progressiste et optimiste. L’exposition est bâtie autour de huit thèmes interreliés: une introduction, le bureau, le logement, la maison, la religion, l’éducation, le loisir et les infrastructures urbaines. L’exposition a été montée de façon intelligente et sobre; elle est soutenue par une publication qui porte le même titre.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.463
Threshold uncertainty score0.932

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0060.003
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0270.004

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 head0.216
Teacher spread0.206 · 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

Citations0
Published2000
Admission routes2
Has abstractno

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