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Record W2200770064

Canada's Musical Group of Seven

2012· article· fr· W2200770064 on OpenAlexaboutno aff
Timothy J. Rogers

Bibliographic record

VenueCanadian Folk Music / Musique folklorique canadienne · 2012
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPaintingMusicalContext (archaeology)Representation (politics)Visual artsThe artsFeelingNaturalismArtHistoryAestheticsSociologyGeographyPsychologyPolitical scienceArchaeologySocial psychologyLaw
DOInot available

Abstract

fetched live from OpenAlex

In 1920 the Group of Seven formed itself into an organization that, over its 13-year tenure, fashioned one of the most distinctive Canadian movements to occur in the arts. Partly in response to frustration with the conservative and derivative quality of then-extant Canadian visual art, these painters rebelled against prevailing 19 century naturalism, focusing on the expression of feelings in the representation of our landscapes. This band of visual artists was successful in developing a canon of distinctively Canadian artwork that has, in many ways, come to define how we picture our geography, both to ourselves, and to the world at large. The success of the Group of Seven did not go unnoticed in the other arts. This paper concerns the story of some relatively unknown efforts of the musical community to develop what might be considered its own Group of Seven. This was a band of people who wanted to forge a distinctively Canadian music, not unlike the Group of Seven had done with landscape painting. In the process, they laid the groundwork for how the folk festival emerged in the Canadian context.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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: Empirical
Teacher disagreement score0.429
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.000

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 head0.014
GPT teacher head0.195
Teacher spread0.180 · 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
Published2012
Admission routes1
Has abstractyes

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