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Record W2566090650

Do You Play Newfoundland Music? Tracking Traditional Music in the Tourist Imaginary

2016· article· en· W2566090650 on OpenAlexaffvenueabout
Holly Everett

Bibliographic record

VenueMUSICultures · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsTourismThe ImaginaryTraditional musicTracking (education)Music industryGeographySociologyAdvertisingVisual artsHistoryPsychologyArtMusic educationBusinessMusicalArchaeologyPedagogy
DOInot available

Abstract

fetched live from OpenAlex

Music-making is assumed to be a significant part of the Newfoundland and Labrador tourist imaginary. This introductory exploration of the construction of traditional music in Newfoundland and Labrador tourism considers how people working in the music and tourism industries perceive tourist desire for traditional music. The occupational perspectives of musicians and tourism industry professionals is contrasted with statistical data concerning non-resident visitors, as they are more likely to be seeking out Newfoundland traditional music for the first time. Interview data supports the existence of a niche market for traditional music aficionados as well as tourists generally interested in local culture, although this is not yet reflected in provincial tourism surveys and reports.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.333
Threshold uncertainty score0.670

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.082
GPT teacher head0.314
Teacher spread0.232 · 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

Citations3
Published2016
Admission routes3
Has abstractyes

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