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Record W1946805424

Bend Like the Grass: Ecofeminism in Kamala Markandaya's Nectar in a Sieve

2011· article· en· W1946805424 on OpenAlexaffvenue
Dana C. Mount

Bibliographic record

VenuePostcolonial text · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsCape Breton University
Fundersnot available
KeywordsEcofeminismReading (process)SociologyContext (archaeology)AestheticsOppressionModernityEnvironmental ethicsGender studiesPoliticsHistoryEpistemologyPhilosophyLawPolitical scienceArchaeology
DOInot available

Abstract

fetched live from OpenAlex

This paper revisits an early postcolonial favourite, Kamala Markandaya’s Nectar in a Sieve, by reading it as a possible ecofeminist text. Markandaya’s novel about a peasant farmer and her daily struggles has fallen out of favour, perhaps due to the often dismissive reading of Rukmani, the heroine, as a passive female character, a position which this paper challenges using de Certeau’s concept of tactics and power. Given the troubled history of ecofeminist thinking about women in the global South, this paper asks whether an ecofeminist reading still makes critical sense. The overwhelming role of nature in the novel, however, and particularly in Rukmani’s understanding of the value of life, means that it would be misguided to overlook these ecofeminist themes. This paper, then, aims to situate an ecofeminist reading within the context of a more specific postcolonial analysis in order to understand Rukmani as an active agent through her labour on the land and her embrace of community. The paper in particular focuses on the ways in which Rukmani employs tactics to negotiate modernity through the under-examined relationship between herself and the white doctor, Kenny. Rukmani’s ultimate decision to return to the land is not read as a retreat, but rather a thoughtful response to urbanization.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.666
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.196
Teacher spread0.175 · 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

Citations1
Published2011
Admission routes2
Has abstractyes

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