MétaCan
Menu
Back to cohort

Indian Group of Seven

2018· book-chapter· en· W4229953078 on OpenAlexaffabout
Matt Smith

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsIndigenousPoliticsColonialismCarvingHistorySubject (documents)ArtAnthropologySociologyPolitical scienceLawArchaeology

Abstract

fetched live from OpenAlex

The Indian Group of Seven is an ironic title given by a reporter from the Winnipeg Free Press to a collective of Indigenous artists from Canada, including Jackson Beardy (1944–1984), Eddy Cobiness (1933–1996), Alex Janvier (b. 1935), Norval Morrisseau (1932–2007), Daphne Odjig (b. 1919), Carl Ray (1942–1978), and Joseph Sanchez (b. 1948). Their name is a direct reference to the Group of Seven, a collective of Canadian artists who used the Canadian landscape as their primary subject matter in the 1920s and 1930s. The Indian Group of Seven emerged soon after Montreal’s 1967 International and Universal Exposition, and the 1969 release of the Statement of the Government of Canada on Indian policy—events that were heavily criticized for supporting colonial legacies and supressing Indigenous rights. The Group’s artwork reacted against such politics. They sought to break cultural and political stereotypes by demanding recognition as professional artists, by challenging established meanings of contemporary Indigenous art, and reconsidering social relationships to Indigenous peoples. The Indian Group of Seven helped to change the preconceived notion that Indigenous artists were preoccupied with traditional craftwork such as weaving, pottery, and carving.

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)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.090
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0100.004
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0310.011

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 head0.061
GPT teacher head0.270
Teacher spread0.209 · 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
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
Published2018
Admission routes2
Has abstractyes

Explore more

Same topicArtistic and Creative ResearchFrench-language works237,207