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Record W2805024758 · doi:10.5539/ells.v8n2p52

Sisterly Bond/Sisters of Agony: A Feminist Reading of Beth Henley’s Crimes of the Heart and Ntozake Shange’s for Colored Girls Who Have Considered Suicide / When the Rainbow Is Enuf

2018· article· en· W2805024758 on OpenAlexvenueno aff
Amal Gouda Abdel Aziz

Bibliographic record

VenueEnglish Language and Literature Studies · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Studies and Interdisciplinary Research
Canadian institutionsnot available
Fundersnot available
KeywordsSilenceVisionColoredHumanityGender studiesMeaning (existential)MysticismSociologyTone (literature)PsychoanalysisReading (process)AestheticsPsychologyLiteratureArtPhilosophyTheologyLawPolitical sciencePsychotherapist

Abstract

fetched live from OpenAlex

Beth Henley (1952- ) and Ntozake Shange (1948- ) are renowned U.S. women playwrights. Exploring into the feminist insights of these contemporary writers, this paper will attempt to demonstrate that though their most celebrated plays, Crimes of the Heart and for colored girls, display noticeable dissimilarities in the structure, tone and technique, yet they are also characterized by parallel feminist visions with regard to women’s suffering in a predominantly patriarchal society. Both plays revolve around the painful experiences of women who have been subordinated by a male-dominated culture. In their struggle to find new positive images of self, these women endeavor to redefine the meaning of their humanity and to create invigorating images of the future. Rejecting conventions and rising above suffering and silence, they find their redemption in a mystical sense of feminine unity, a sisterly bond of love and care among women to transcend the degenerate forces, which have long subjugated and banished them.

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 score0.057
Threshold uncertainty score0.653

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
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 head0.051
GPT teacher head0.324
Teacher spread0.274 · 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
Published2018
Admission routes1
Has abstractyes

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