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Record W6991301280

Gender and Jazz: The Experience of Young Women in Jazz Education

2021· other· en· W6991301280 on OpenAlexaboutno aff

Bibliographic record

VenueTUScholarShare (Temple University) · 2021
Typeother
Languageen
FieldBusiness, Management and Accounting
TopicEconomic and Technological Systems Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionDiafiltrationPretextTSG101Gestational periodArticular cartilage damageProteogenomicsTubulopathy
DOInot available

Abstract

fetched live from OpenAlex

The number of young women who participate in instrumental high school jazz education programs peaks in middle school, then drops precipitously throughout the high school years. Most high school jazz bands are populated by only a small percentage of female instrumentalists by the later years of high school. These percentages drop still further when examining female instrumental participation in jazz performance at the college level. While this disparity is well documented, efforts to understand and address the issue have lacked the perspective of the young women instrumentalists taking part in these programs.This qualitative research study, based on in-depth interviews with 16 young female instrumentalists, taking part in high school jazz education programs in different regions of the US and Canada, examines ‘band culture’ from the perspective of young women participants. The result is a portrait of their experience and an analysis of key issues relevant to the challenge of creating jazz education environments that sustain and support everyone.

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)0.004
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 score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0120.007
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.026
GPT teacher head0.209
Teacher spread0.184 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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