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Record W4411110724 · doi:10.1163/15692108-bja10052

Impermanent Nature of Environmental Advocacy in the Works of Margaret Atwood

2025· article· en· W4411110724 on OpenAlexaboutno aff
Rekha Verma

Bibliographic record

VenueAfrican and Asian Studies · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicUtopian, Dystopian, and Speculative Fiction
Canadian institutionsnot available
Fundersnot available
KeywordsAsian studiesAfrican studiesSociologyEnvironmental ethicsPolitical scienceGender studiesPhilosophyLawChina

Abstract

fetched live from OpenAlex

Abstract Margaret Atwood, an illustrious Canadian author, has woven themes of environmentalism and indigenous advocacy throughout her literary works. This research paper explores how Atwood’s work, particularly The Handmaid’s Tale and The MaddAddam Trilogy , reflects her deep concerns for ecological disputes and her support of indigenous rights. Through dystopian narratives and theoretical fiction, she warns about the catastrophic consequences of environmental abandonment and manipulation, accentuating the importance of sustainable practices. This paper aims to highlight the repercussions of green obliviousness for humanity and its sanity through her novels. The eco-cognitive dispositions in her storytelling, efficiency and proficiency in portraying her characters compels contemporary readers to re-evaluate their life path and choices. The research focuses on analyzing the deconstructing power of ecology in society through her works, and simultaneously to study an intersection of socioeconomic power with the environment and its components, examining how Atwood’s literary trajectory was way ahead of its time.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.873
Threshold uncertainty score0.214

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)0.0000.000

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 head0.012
GPT teacher head0.241
Teacher spread0.229 · 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 designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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