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Record W2792856978 · doi:10.5539/ells.v8n1p20

Away from Home Are Some and I—Homeplace in Fannie Flagg’s Fried Green Tomatoes at the Whistle Stop Café: A Black Feminist Lens

2018· article· en· W2792856978 on OpenAlexvenueno aff
Natthapol Boonyaoudomsart

Bibliographic record

VenueEnglish Language and Literature Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsnot available
FundersThammasat University
KeywordsSociologyIdeologyArgument (complex analysis)CriticismFeminismGender studiesAestheticsEmpowermentResistance (ecology)LawPhilosophyPolitical science

Abstract

fetched live from OpenAlex

This article aims to explore the centrally essential notion of homeplace as a site of resistance presented in Fannie Flagg’s Fried Green Tomatoes at the Whistle Stop Cafe (1987). Close reading of the novel advances the argument that both the symbolic Whistle Stop and the cafe represent the counteractive force against sexist, classist and racist ideologies that basically undermine self-esteem and empowerment of literary characters in the text. Despite gender, class and race, the discussed characters, however they are marginalized, can safely take refuge, heal and recover themselves in the guarded icons connoting deep meanings. By directing a critical gaze at rootedness, the discussion is grounded in Black feminist criticism that, while largely exclusive to the experiences of women of color, values the significant role of homeplace and informs how the novel responds to this feminist perspective. In the collective effort to offset discrimination, it is stressed that one is to regain a sense of self in the marginal space by embracing Black feminism.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.035
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0210.020
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.011
GPT teacher head0.274
Teacher spread0.264 · 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
Published2018
Admission routes1
Has abstractyes

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