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A Paradise for Men or Women? The Paradox of Power in Toni Morrison’s Paradise

2011· article· en· W1900703260 on OpenAlexvenueno aff
Farid Parvaneh

Bibliographic record

VenueCanadian social science · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsnot available
Fundersnot available
KeywordsParadiseHumanitiesArtWhite (mutation)IdeologyHeavenEthnologyPower (physics)HistoryArt historyPolitical sciencePoliticsLawLiterature

Abstract

fetched live from OpenAlex

Toni Morrison’s Paradise is a novel of women massacre, and the reader is informed from the very beginning that one white woman is murdered by a group of men. The immediate concept formed in the mind of the reader is a patriarchal system that is working in the novel. It seems that the black men, imitating the white system of domination, rule over the black women and thus making life a “hell out of heaven.” However, this study examines how black women in Paradise struggle to revert the hellish situation of their lives, and to study the moments of their consciousness that help them to resist. Key words: Patriarchal; White Ideology; Black Women Subjects; Subaltern Resume: Le “Paradis” de Toni Morrison est un roman sur le massacre des femmes, et le lecteur est informe des le debut qu'une femme blanche est assassine par un groupe d'hommes. Le concept immediatement forme dans l'esprit du lecteur est un systeme patriarcal qui fonctionne dans le roman. Il semble que les hommes noirs, en imitant le systeme de domination des blancs, dominent sur les femmes noires et rendant ainsi de la vie un enfer hors du paradis. Toutefois, cette etude examine la facon dont les femmes noires dans le Paradis luttent pour renverser la situation infernale de leur vie , et etudier les moments de leur conscience qui les aident a resister. Mots-cles: Patriarchal; Ideologie des Blancs; Sujets de Femmes noires; Subalterne

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)0.003
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: none
Teacher disagreement score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0150.028
Scholarly communication0.0090.006
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.040
GPT teacher head0.288
Teacher spread0.249 · 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

Citations2
Published2011
Admission routes1
Has abstractyes

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