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Record W4402829510 · doi:10.3138/ngcr.14-003

Kan Azuma’s Canadian Landscape Photography: An Other Gaze from Within / La photographie du paysage canadien de Kan Azuma : un autre regard de l’intérieur

2024· article· fr· W4402829510 on OpenAlexvenueaboutno aff
Euijung McGillis

Bibliographic record

VenueNational Gallery of Canada Review · 2024
Typearticle
Languagefr
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsnot available
Fundersnot available
KeywordsArtGazeHumanitiesGeographyPsychology

Abstract

fetched live from OpenAlex

The NGC collection holds over one hundred works of Japanese photographer Kan Azuma (b.1946) whose practice has been often celebrated within the context of multiculturalist rhetoric.His photographs, created mostly during the 1970s, represent an affective visualization of the Canadian landscape captured through the diasporic lens of the artist, based on his phenomenological encounters with places he visited in Canada.The first in-depth interview with the artist, conducted through email correspondence in 2022 with the author, reveals many thought-provoking crevices between Azuma's actual experiences of the land and the reception of his work in the Canadian art scene.This interview was not intended to advocate a gesture of rediscovering an artist who does not claim a distinguished place in the history of Canadian photography.Nor does it aim to reinforce an inherited hierarchy imposed by the institutional narratives of the time that benignly delineated him as "an artistic other."Instead, it calls attention to the artist's voice and his creative agency, which is indispensable in collectively reimagining our diverse histories from a non-linear and multicentred perspective.Azuma's own account of his time in Canada sheds light on facilitating transtemporal spaces of encounters in art institutional contexts, embracing many individuals' stories of lived experiences through their own journeys.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.812
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.015
GPT teacher head0.240
Teacher spread0.225 · 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 teacher head, not a consensus.

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
Published2024
Admission routes2
Has abstractyes

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