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Decolonizing the Anthropocene: ‘Slow Violence’ and Indigenous Resistance in Cherie Dimaline’s <i>The Marrow Thieves</i>

2020· article· en· W3138204379 on OpenAlexaboutno aff
Chiara Xausa

Bibliographic record

VenueIl Tolomeo · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsAnthropoceneOppressionIndigenousColonialismConceptualizationEnvironmental ethicsResistance (ecology)SociologyHegemonyHistoryPolitical scienceEcologyLawPhilosophyPoliticsArchaeologyBiologyLinguistics

Abstract

fetched live from OpenAlex

Through a reading of Cherie Dimaline’s 2017 young adult novel The Marrow Thieves , a survival story set in a futuristic Canada destroyed by global warming, this article explores the conceptualization and reimagination of the Anthropocene in contemporary postcolonial and Indigenous theory and fiction. Firstly, I will argue that literary representations of climate change can be complicit in producing hegemonic strands of Anthropocene discourse that consider human destructiveness and vulnerability at undifferentiated species level. Secondly, I will suggest that the novel’s apocalypse reveals the processes of colonial violence and dispossession that have culminated in the eruptive event of environmental catastrophe, rather than portraying a story of universal and disembodied human threat that conceals oppression against Indigenous people.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.916
Threshold uncertainty score0.377

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 studies0.0000.001
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 head0.015
GPT teacher head0.199
Teacher spread0.185 · 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 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

Citations5
Published2020
Admission routes1
Has abstractyes

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