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Record W2532810383

Things ain't what they used to be: a look at the emergence of female flutists into the jazz world

2014· article· en· W2532810383 on OpenAlexaboutno aff
Megan Kingery

Bibliographic record

VenueUNI ScholarWorks (University of Northern Iowa) · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsAin'tJazzHistoryArtHumanitiesArt historyLiterature
DOInot available

Abstract

fetched live from OpenAlex

My thesis is designed to explore the challenges female jazz flutists have faced breaking into the jazz world. This is important because not many flutists, especially females, are involved in the jazz world as soloists, bandleaders, or composers. The primary purpose of this thesis is to increase understanding and awareness of the flute as a jazz instrument. I also hope to increase interest in jazz in my flute colleagues. I researched the history of the flute in jazz, focusing on female jazz flutists; specifically, Ali Ryerson, Holly Hofmann, and Jamie Baum, among others. I looked at their influences and background in jazz, what struggles they may have overcome, and what accomplishments and contributions they have made in their field. I also conducted personal interviews with female jazz flutists in person at the 2014 National Flute Convention, by telephone, and by email to increase my understanding and to hear firsthand what it is like to be a female flutist playing jazz. In addition, as part of my goal to increase knowledge of and interest in the flute as a jazz instrument, I chose a standard jazz band chart, “Things Ain’t What They Used to Be”, and arranged it for jazz flute big band. I worked with the Northern Iowa Flute Choir and volunteer members of a standard rhythm section to rehearse and perform the work at my thesis presentation.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.836
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
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.026
GPT teacher head0.204
Teacher spread0.178 · 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.

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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueUNI ScholarWorks (University of Northern Iowa)Same topicMusicology and Musical AnalysisFrench-language works237,207