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Record W4360615863 · doi:10.1017/s1752196323000032

Ginger Smock: Narratives of Perpetual Discovery, Jazz Historiography, and the “Swinging Lady of the Violin”

2023· article· en· W4360615863 on OpenAlexaff
Laura Risk

Bibliographic record

VenueJournal of the Society for American Music · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsJazzNarrativeViolinHistoriographyEntertainmentHistoryMusicalArtArt historyLiteratureVisual artsSociologyArchaeology

Abstract

fetched live from OpenAlex

Abstract Ginger Smock (1920–95), an African American jazz and classical violinist, was a popular Los Angeles entertainer and one of the first African American women bandleaders on television. This article traces her career from Los Angeles’ Central Avenue to Las Vegas showroom orchestras, drawing on archival materials from the Smithsonian National Museum of African American History and Culture. Through a close reading of a 1951DownBeatprofile of Smock, I interrogate racialized constructions of gender in that magazine and frame mid-century jazz reporting on women instrumentalists via a “narrative of perpetual discovery” that positions these women as waiting for a career break that never comes. As an antidote to the effacement implicit in such narratives, I propose close documentation of sustained artistic practice: That is, the day-to-day facts of a working musician's life. This article reads Smock's professional trajectory through an intersectional lens to offer a critical perspective on the ways in which social identities, especially race and gender, may shape both musical careers and our historicization of those careers.

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0280.037
Scholarly communication0.0090.006
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.208
Teacher spread0.192 · 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 designNot applicable
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
Published2023
Admission routes1
Has abstractyes

Explore more

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