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Record W4414703011 · doi:10.56062/gtrs.2025.4.08.947

Exploring Mindscape and Landscape in Margaret Atwood’s Surfacing

2025· article· en· W4414703011 on OpenAlexaboutno aff
Riku Panigrahi, Hitkaran Singh Ranawat

Bibliographic record

VenueCreative Saplings · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicUtopian, Dystopian, and Speculative Fiction
Canadian institutionsnot available
Fundersnot available
KeywordsRationalismConsumerismIdeologyTheme (computing)MetaphorEcofeminismCapitalism

Abstract

fetched live from OpenAlex

Margaret Atwood being the most significant Canadian novelist, poet and critic is chiefly popular for her writing about several social problems. Her novel Surfacing, published in 1972, portrays the domination of western civilization as a patriarchal ideology over nature and woman in parallel. The novel is about the degeneration of the core ideas of rationalism and progress into brute domination, colonization and the rift between nature and culture. Atwood scathingly criticizes the rampant consumerism and capitalism of the modern age embodied in the threat posed by American culture, or American mentality, to Canada and its landscape which runs parallel to the masculine rationality that wills to ‘submerge’ as the central metaphor of ‘surfacing’ as its feminine mindset. This paper discusses the conflict between the landscape and mindscape in several related dualisms represented in the novel and thus glorifies the theme of ecofeminism throughout its notion.

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)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.127
Threshold uncertainty score0.252

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0220.037
Scholarly communication0.0120.004
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.078
GPT teacher head0.247
Teacher spread0.169 · 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
GenreOther

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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