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Record W4378386964 · doi:10.1515/9780773586826

The Allied Arts

2012· book· en· W4378386964 on OpenAlexaboutno aff
Sandra Alfoldy

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2012
Typebook
Languageen
FieldArts and Humanities
TopicArt, Politics, and Modernism
Canadian institutionsnot available
Fundersnot available
KeywordsThe artsVisual artsArt

Abstract

fetched live from OpenAlex

During periods of close collaboration, championed by figures like John Ruskin and William Morris, architecture and craft were referred to as "the allied arts." By the mid-twentieth century, however, it was more common for the two disciplines to be considered distinct professional fields, with architecture having little to do with studio craft. The Allied Arts investigates the history of the complex relationship between craft and architecture by examining the intersection of these two areas in Canadian public buildings. Sandra Alfoldy explains the challenges facing the development of the field of public craft and documents the largely ignored public craft commissions of the post-war era in Canada. The book highlights the global concerns of material, scale, form, ornament, and identity shared by architects and craftspeople. It also examines the ways in which the allied arts are mediated by institutions and the fragility of craft commissions once considered an integral part of the built environment. Considering a wide range of craftspeople, materials, and forms - from the ceramics of Jack Sures and Jordi Bonnet to the textile work of Mariette Rousseau Vermette and Carole Sabiston - Alfoldy celebrates the successes of architectural craftsmanship. The first work of its kind, The Allied Arts develops ideas about the complex relationship between architecture and craft that reach well beyond national boundaries.

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)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.105
Threshold uncertainty score0.209

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.013
Scholarly communication0.0100.003
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0360.004

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 head0.041
GPT teacher head0.213
Teacher spread0.172 · 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
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

Citations0
Published2012
Admission routes1
Has abstractyes

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