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Record W1484746577

Builders: Canadian Biennial 2012

2012· book· en· W1484746577 on OpenAlexaboutno aff
Shari Austin, Marc Mayer, Jonathan Shaughnessy, Ann Thomas, Christine Lalonde, Andrea Kunard, Heather Anderson

Bibliographic record

VenueMedical Entomology and Zoology · 2012
Typebook
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousThe artsVisual artsContemporary artState (computer science)PhotographyFine artArtMedia studiesHistoryPerformance artSociologyArt history
DOInot available

Abstract

fetched live from OpenAlex

This is an engaging and intelligent overview of the 2012 Canadian Biennial - one of the premier events of the North American art scene. Since its inauguration in 2010, the Canadian Biennial has become one of the highlights of the North American arts scene. Featuring over 100 works by more than 40 established and emerging artists, this new publication documents the Biennial's second edition with discussions of not only contemporary artistic practice but of contemporary collecting practices as well, revealing how curators work to understand, assess and place artists within the spectrum of some of the country's foundational practitioners. To this end, artist statements are accompanied by passages from the original curatorial justifications presented at the National Gallery's acquisition meetings. Authoritative essays on the state of contemporary Canadian art across diverse media, environments and generations are accompanied by targeted looks at Indigenous artists as well as specific practices such as photography. An illustrated profile highlights each participating artist.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.118
Threshold uncertainty score0.394

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0100.002
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1180.021

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 head0.032
GPT teacher head0.271
Teacher spread0.239 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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