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Record W1491051426

Women performing: creating a bond through harmony

2000· article· en· W1491051426 on OpenAlexfundno aff
McNeill Maria

Bibliographic record

VenueLincoln University Research Archive (Lincoln University) · 2000
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
FundersUniversity of TorontoQueen's UniversityMcGill University
KeywordsHarmony (color)BondBusinessArtFinanceVisual arts
DOInot available

Abstract

fetched live from OpenAlex

In taking up the challenge of writing this report I brought to the process field work research done in 1999 for Soci 602. This research involved a women's performance group made up of a chorus of ninety plus women and several quartets. The Christchurch City Chorus of Sweet Adelines International are a cappella singers who harmonize in the barbershop style. They are part of a wider New Zealand organisation and at the same time are also part of the international organisation which has its headquarters in the United States of America. My objectives in continuing with this research have been to deepen my appreciation of the theoretical background to my fieldwork and to further my understanding of barbershoppers as performers. I was particularly interested in familarising myself with other studies which had been done in this area such as Robert A Stebbins' book The Barbershop Singer: inside the musical world of a musical hobby. I also needed to explore the concept of ""serious leisure"" as it has been developed by Stebbins with a particular view to understanding how the concept has been applied to this art form. Another further objective was to explore the concept of ""mateship"" as it has been used in New Zealand. In my original paper for Soci 602 I proposed that this concept may make sense of the exclusivity of the social aspects of the women's organisation. The Summer Scholarship gave me an opportunity to follow-up this conjecture.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.845
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.058
GPT teacher head0.254
Teacher spread0.195 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2000
Admission routes1
Has abstractyes

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