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Record W2157667051 · doi:10.1017/s1752196312000211

Performing<i>Acadie</i>: Marketing Pan-Acadian Identity in the Music of Vishtèn

2012· article· en· W2157667051 on OpenAlexaboutno aff
Meghan Forsyth

Bibliographic record

VenueJournal of the Society for American Music · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsMusicalIdentity (music)PoliticsNarrativeEmic and eticCultural identityCultural exchangeSociologyEthnologyAnthropologyAestheticsPolitical scienceArtLiteratureLawSocial science

Abstract

fetched live from OpenAlex

Abstract This article examines the influence of strategic musical alliances on the formation of a unique regional Acadian cultural identity. The Acadian communities of Prince Edward Island and les Îles-de-la-Madeleine (Québec), located on Canada's east coast, share a tumultuous socio-political history that is traced to le Grand Dérangement , the eighteenth-century deportation of thousands of Acadians from eastern Canada. The geographic location of the islands, their contemporary political affiliations, and divergent cultural retentions suggest distinct experiences of Acadian identity; nonetheless, renewed interest in inter-island partnerships has arisen over the past decade, often along musical lines. These alliances have been fostered largely by a young generation of musicians from the Acadian group, Vishtèn. Through their strategic musical, narrative, and marketing choices, members of Vishtèn have striven vigorously to advance the project of a shared island Acadian identity, while claiming a place in the global “traditional” music market. I conclude that this exchange has fostered an emic perception of a unified francophone Acadian community that has transformed the cultural geography of this region of “Acadia” and contributed to local processes of Acadian cultural revitalization.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.355
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.275
Teacher spread0.255 · 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.

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

Citations3
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Society for American MusicSame topicCanadian Identity and HistoryFrench-language works237,207