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Record W2765949114 · doi:10.7202/1041487ar

Children’s Dances at First Nation Powwows in Atlantic Canada

2017· article· en· W2765949114 on OpenAlexaffvenueabout
Janice Esther Tulk

Bibliographic record

VenueEthnologies · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsCape Breton University
Fundersnot available
KeywordsDanceEthnographyContext (archaeology)Gender studiesRelation (database)Folk danceAnthropologySociologyHistoryVisual artsArtArchaeology

Abstract

fetched live from OpenAlex

In this article, based on ethnographic research conducted at Mi’kmaw powwows throughout Atlantic Canada between 2004 and 2010, I will begin to address the lacuna in literature on First Nation children’s dances. I will describe the various children’s dances observed at powwows in Eastern Canada, as well as songs that are specifically used for children’s dances, contextualizing them within the traditional powwow event and in relation to emcee stage talk. I will also illuminate the socio-cultural functions of children’s dance at powwows and the relationship between dance and play. Finally, by focussing specifically on the living dance tradition of Mi’kmaq at cultural events in the Atlantic provinces, I will elucidate some of the forces that act upon informal culture, shaping and re-shaping it through time. This approach will highlight the relationship between popular culture and tradition in this context, revealing the emergent nature of lived traditions.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.225

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0200.007
Scholarly communication0.0040.001
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.034
GPT teacher head0.243
Teacher spread0.208 · 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 designQualitative
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
Published2017
Admission routes3
Has abstractyes

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