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Record W4285211068 · doi:10.1093/jhs/hiac004

A Requiem for Women: Narrative Strategy, Rhetoric, and Ideology in Candrāvatī’s Bengali <i>Rāmāyaṇa</i>

2022· article· en· W4285211068 on OpenAlexaff
Mandakranta Bose

Bibliographic record

VenueThe Journal of Hindu Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIdeologyNarrativeLiteratureBengaliPoetryEconomic JusticeRhetoricPhilosophyHistoryAestheticsArtLawPolitical scienceTheologyPoliticsLinguistics

Abstract

fetched live from OpenAlex

Abstract The numerous versions of Vālmīki’s original Rāmāyaṇa in different languages and milieus display an almost limitless cultural and ideological variety. Whether purportedly faithful translations or interpretive re-creations, these versions present a vast range of responses to a narrative that has been often transformed to reflect contemporary social and spiritual experiences and positions. A particularly intriguing example of such a transformation is the late 15th c. Bengali Rāmāyaṇa of Candrāvatī, of interest not only because this is the first extant work by a female author in the tradition of Bengali poetry but more importantly because (i) she composed the narrative from a woman’s point of view, and (ii) she converted the original battle narrative into a dirge for the victims of war, especially women. In her poem the validation of war and conquest is set aside, justice is shown to be unjust, and even faith as a spiritual axiom is undermined. Candrāvatī’s literary strategy, including her diction, iterative statements and lyrical forms, replaces the heroic style of the conventional epic with the language of feminine domesticity. The Rāmāyaṇa is thus turned against itself emotionally and ideologically by being reoriented to women’s repeatedly authenticated experience of the world. My essay traces through the literary and ideological processes of Candrāvatī’s poem its assault upon the chains that bind women as victims of justice perverted in the dominant Rāma legend. Whether and how far that assault also affects the integrity of religious faith lends a speculative edge to my enquiry.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.561
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.068
GPT teacher head0.374
Teacher spread0.306 · 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.

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
Published2022
Admission routes1
Has abstractyes

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