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Record W6885996686 · doi:10.14288/cl.v0i238.190547s

‘Who's going to look after the river?’: Water and the Ethics of Care in Thomas King's The Back of the Turtle

2019· article· en· W6885996686 on OpenAlexaboutno aff

Bibliographic record

VenueGredos (University of Salamanca) · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsPosthumanAnthropocentrismIndigenousFeminist ethicsEthics of careRealmAnthropoceneEcofeminismTechnosciencePerspective (graphical)Agency (philosophy)

Abstract

fetched live from OpenAlex

This paper analyses the trope of water in Thomas King’s latest novel The Back of the Turtle from an ethics-of-care perspective that puts in conversation Indigenous ethics, feminist care ethics and environmental ethics. I suggest that King’s focus on water offers a harsh—even if often humorous—critique of the anthropocentric, neoliberal extractivist mentality while proposing a transcultural ethics of care. Consequently, my analysis of the novel draws on the dialogue taking place in the realm of the Environmental Humanities in Canada and beyond about the centrality of water (See Cecilia Chen, Janine MacLeod and Astrida Neimais’ Thinking with Water; Dorothy Christian and Rita Wong’s Downstream: Reimagining Water; Astrida Neimanis’ Bodies of Water: Posthuman Feminist Phenomenology; Stacy Alaimo’s Exposed: Environmental Politics and Pleasures in Posthuman Times, as well as on Indigenous epistemologies that eschew anthropocentrism in favour of attentive caring for the interconnected needs of humans and non-humans within interdependent ecologies, and feminist environmental care ethics that emphasize the importance of empowering communities to care for themselves and the ecologies that sustain them.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.559
Threshold uncertainty score0.435

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 head0.006
GPT teacher head0.159
Teacher spread0.152 · 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 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
Published2019
Admission routes1
Has abstractyes

Explore more

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