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Record W2410081627 · doi:10.14288/1.0100877

Metis fiddling at the borders of Canadian tradition

2011· article· en· W2410081627 on OpenAlexaboutno aff
Kristi Weiss Fuoco

Bibliographic record

VenuecIRcle (University of British Columbia) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryPolitical science

Abstract

fetched live from OpenAlex

The tradition of Metis fiddling in Canada is an integral yet relatively unknown historical practice that has been handed down through the generations. The rich combination of European culture and Aboriginal culture of Western Canada created a new and distinct group of people, the Metis, who played an important role in shaping Canada's history. Through a combination of Aboriginal dancing and dnirnming traditions, mixed with the Celtic and French fiddle, what is known today as Metis fiddling emerged. The tradition has been kept alive by the dedication of the older generation who pass it down orally to those willing to learn it, and through festivals and competitions that are becoming more widespread every year. In this thesis I will examine the history of the Metis and their fiddling tradition, the important role it plays in their culture and the close relationship between the fiddle and dance. My research is a combination of ethnographic, historical, cultural and musical analysis that combines to create a comprehensive study of Metis fiddling in Western Canada. As the Metis population is comparatively small in Canada, and often forgotten, there has not been extensive research conducted into the musical culture of the Metis, particularly the fiddling tradition. Recordings and books which examine this music are not numerous or easy to find. My goal, therefore, is to explore this vibrant musical world with the hope of creating a new awareness and study of the Metis that will add to the previous research done and open new doors for further research in this area of ethnomusicology.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.871
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.206
Teacher spread0.177 · 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 designObservational
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

Citations1
Published2011
Admission routes1
Has abstractyes

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