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Record W2971592783

Images and lyrics: Representations of African American women in blues lyrics written by black women

2007· article· en· W2971592783 on OpenAlexaboutno aff
Danette Marie Pugh-Patton

Bibliographic record

VenueCSUSB ScholarWorks (California State University, San Bernardino) · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsLyricsBluesBlack womenGender studiesArtPsychologySociologyLiteratureArt history
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this thesis is to examine to what extent representations of double jeopardy and the stereotypical images of African American females: Mammy, Matriarch, Sapphire, and Strong Black Woman emerge in the blues lyrics of Alberta Hunter, Gertrude "Ma" Rainy, Memphis Minnie, and Victoria Spivey, using the theoretical framework of Black feminist rhetorical critique. The findings in this research entail several meanings regarding the lives of African American women during the 1920s and 1930s. Representations of racism, sexism, and classism also appear in the theme of relationships with various subthemes. The focus of this study is to explore the evolution of Black music and examine the role women have played in both the development and advancement of the blues genre. Additionally, the study will explore various concepts of cultural identity development in order to establish the process of how identity is constructed and negotiated in African Americans specifically African American women.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
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 head0.009
GPT teacher head0.203
Teacher spread0.194 · 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
Published2007
Admission routes1
Has abstractyes

Explore more

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