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Record W2616013398

Photography in Canada 1960-2000

2017· book· en· W2616013398 on OpenAlexaboutno aff
Andrea Kunard

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsnot available
Fundersnot available
KeywordsPhotographyVisual artsArtArt historyGeographyHistory
DOInot available

Abstract

fetched live from OpenAlex

This fifth and final volume in the series dedicated to the National Gallery of Canada's immense photography collection documents the emergence of the medium as a recognized artistic discipline in Canada. The creation and growth of this unique collection reflects the enormous development in the practice, collection and display of photography over the latter half of the 20th century. Prior to this time, government institutions, commercial establishments and the legal, medical and journalism professions prized it for its documentary value. As a result, photographs rarely entered the collections of major institutions. This changed in the 1960s when art became more vigorous and dynamic. Photography especially articulated probing, contentious ideas of art, the artist, identity, sexuality and community. Art institutions, themselves undergoing radical transformation, acted as an interface between artist and public, and attempted to articulate movements and trends in art and photography. With dozens of full-page plates each accompanied by an individual abstract, the publication offers a scholarly essay providing artistic, cultural and historical context. Artists featured include those at the forefront of the changes in the 1960s and 1970s, as well as more contemporary figures who continue to push at the limits of the definition of the medium. They include Roy Arden, Raymonde April, Ed Burtnysky, Carol Condé and Karl Beveridge, Evergon, General Idea, Rodney Graham, Angela Grauerholz, Geoffrey James, Suzy Lake, Ken Lum, Gabor Szilasi, N.E. Thing Co, Ian Wallace and Jin-me Yoon

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)0.002
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 score0.097
Threshold uncertainty score0.703

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.014
Science and technology studies0.0090.002
Scholarly communication0.0060.001
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0390.005

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 head0.029
GPT teacher head0.219
Teacher spread0.191 · 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
Published2017
Admission routes1
Has abstractyes

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