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Record W1510655390

Constructing Identities in a Women’s Balkan Folklore Ensemble

2006· article· en· W1510655390 on OpenAlexaboutno aff
Carolyn Chong

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicBalkans: History, Politics, Society
Canadian institutionsnot available
Fundersnot available
KeywordsFolkloreSingingIdentity (music)DancePsychologyArtAestheticsVisual artsLiteratureAcousticsPhysics
DOInot available

Abstract

fetched live from OpenAlex

identity perspectives, and shows how performances of music and dance can play important roles in how individuals perceive themselves and others. The experiences of the performers in Sveti Ivan are discussed, with particular reference to the significance of singing, dancing, and costuming as they relate to perceptions of Balkan identities, as well as “outside ” identities. “The Canadian dream, ” “A musical melting pot. " These were the words used to introduce Sveti Ivan, Newfoundland’s first Balkan folksong and dance group in a piece by Katie Nicholson aired on CBC television’s provincial news broadcast, “Here and Now. ” Indeed, the seventeen women brought together in St. John’s by Balkan music were “from all walks of life, ” as Nicholson stated. The mix of cultural backgrounds included eleven Canadians, two Americans, and a Bulgarian, a Romanian, and an Argentinean. The program revealed how, after only eight weeks, a performance of Balkan music and dance brought a group of “random people ” together, giving them something more than just music. Folklore ensembles such as Sveti Ivan are growing in number and gaining more

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)0.003
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 score0.047
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0300.029
Scholarly communication0.0110.005
Open science0.0010.008
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.015
GPT teacher head0.270
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 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
Published2006
Admission routes1
Has abstractyes

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