MétaCan
Menu
Back to cohort
Record W2254791029

Roy Kenzie Kiyooka

2002· article· en· W2254791029 on OpenAlexaboutno aff
Janice Rieger

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicArchitecture, Modernity, and Design
Canadian institutionsnot available
Fundersnot available
KeywordsPaintingPoetryArt historyFilm directorArtPhotographyArt galleryVisual artsHistoryExhibitionMovie theaterLiterature
DOInot available

Abstract

fetched live from OpenAlex

Roy Kenzie Kiyooka Canadian, born 1926 Roy Kiyooka was born in Moose Jaw, Saskatchewan in 1926. Throughout his career, he was known as a painter, photographer, sculptor, poet, musician, filmmaker and teacher. He studied at the Provincial Institute of Technology and Art in Calgary from 1946-49, and then at the Instituto Allende in Mexico in 1955. During the summers of 1958 - 1960 he attended the Emma Lake Workshops in Saskatchewan, where he worked closely with Barnett Newman and Clement Greenberg. In 1959 he executed his first series of abstract paintings, The Hoarfrost Series, which assume a disciplined minimal quality. In the late 1960's Kiyooka began to push beyond painting and created mixed media works, including collage, photography, film and poetry. Kiyooka’s art is born out of personal experience and through it he records his relationship to the surrounding landscape; a night in a motel, a trip to the coast, or hoarfrost on the trees. Through the unfolding of Kiyooka’s interior/exterior landscapes he shares his personal journeys with us all. The Art Gallery of Ontario's collection of Roy Kiyooka's work began with the purchase of two paintings; Barometer No. 2, in 1964 and Surya, in 1987.

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 score0.587
Threshold uncertainty score0.831

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.002
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0630.017

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 head0.024
GPT teacher head0.203
Teacher spread0.178 · 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
Published2002
Admission routes1
Has abstractyes

Explore more

Same topicArchitecture, Modernity, and DesignFrench-language works237,207