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Discrimination in “the City”: Race, Class, and Gender in Toni Morrison’s Jazz

2019· article· en· W3012659206 on OpenAlexaff
Golam Rabbani

Bibliographic record

VenueAdvances in Language and Literary Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsQueen's University
FundersLunds UniversitetEuropean Commission
KeywordsJazzOppressionGender studiesHarlem RenaissanceRace (biology)African americanWhite (mutation)SociologyAlienationClass (philosophy)Black musicPoliticsHistoryAnthropologyAestheticsArtArt historyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Toni Morrison, the African American Nobel laureate author, explores the realities where African American women face multiple discriminations in her novel Jazz (1992). This article, following the qualitative method on the bibliographic study, examines the discriminations entailing race, class, and gender and presents Harlem as a discriminatory space in the novel. Jazz narrates the struggles of African American women who settled in Harlem in the early twentieth-century. Haunted by the memories of slavery, the female African American characters in the novel find themselves subjugated in the society dominated by white Americans and also experience oppression within their black community. Harlem, denoted as “the City” in the novel, identifies itself as the relational space where black women experience the intersecting subjugation and alienation from their race, class, and gender positions.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.173
Threshold uncertainty score0.269

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.345
Teacher spread0.327 · 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.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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