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Record W4401135158 · doi:10.5430/wjel.v14n6p290

Redefining Catholic Sisterhood: Intersections of Autonomy and Religion in Sacrilege and Nunsense

2024· article· en· W4401135158 on OpenAlexvenueno aff
T. S. Krishnaja, Soumya Jose

Bibliographic record

VenueWorld Journal of English Language · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicCatholicism and Religious Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAutonomySociologyDeconstruction (building)DramaFeminist theologyHierarchyRepresentation (politics)Gender studiesFeminismTheologyReligious studiesLawPhilosophyPolitical scienceLiteratureArtPolitics

Abstract

fetched live from OpenAlex

Feminist Catholic sisters epitomize progressive and autonomous women who defy the stereotyped sisterhood, confronting the gender hierarchy within the patriarchal Catholic Church. The religious reforms post-Vatican II and the desideratum of inclusivity for avowed women in decision-making roles have contributed to the emergence of a feminist theological movement that thwarts the erasure of women from religious histories. Delving deep into the feminist theological tenets mirrored in Diane Shaffer’s Sacrilege: A Drama in Two Acts and Dan Goggin’s Nunsense: A Musical Comedy, the present study aims to examine the thespian representation of religious reforms post-Vatican II, exploring the strategies Catholic sisters adopt in their struggle for autonomy. The study contends that the representations of the radical and feminist sisters in the plays potentially challenge the rigid ecclesiastical hierarchy and uphold the deconstruction of sisterhood.

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)0.002
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 score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0090.035
Scholarly communication0.0040.003
Open science0.0010.007
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.232
Teacher spread0.222 · 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
Published2024
Admission routes1
Has abstractyes

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