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Record W7117107354 · doi:10.5206/fpq/2024.1/2.18724

Climate Crisis as Relational Crisis

2024· article· W7117107354 on OpenAlexvenueno aff
Shelbi Nahwilet Meissner, Andrew Frederick Smith

Bibliographic record

VenueFeminist Philosophy Quarterly · 2024
Typearticle
Language
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsClimate changeIndigenousClimate justiceFraming (construction)AnthropoceneVisionClimate riskColonialismCivilization

Abstract

fetched live from OpenAlex

It is commonly assumed that we currently face a climate crisis insofar as the climatological effects of excessive carbon emissions risk destabilizing advanced civilization and jeopardize cherished modern institutions. The threat posed by climate change is treated as unprecedented, demanding urgent action to avert apocalyptic conditions that will limit or even erase the future of all humankind. In this essay, we argue that this framework—the default climate crisis motif—perpetuates a discursive infrastructure that commits its proponents, if unwittingly, to logics that ultimately reinforce the dynamics driving climate change and its attending injustices. By centering Indigenous feminist environmental discourses, which privilege the role of richly interweaving networks of responsibilities composing extended more-than-human kinship arrangements, we contend that climate crisis is instead primarily a manifestation of devastating multidimensional relational disruptions of Indigenous lands and lives. More pointedly, it is a rebound effect of centuries of accumulating colonial injustices against responsible lifeways that are critical for socioecological adaptability and responsiveness. Framing climate crisis as relational crisis hereby creates discursive space for much needed transformational Indigenous feminist visions for justly and effectively addressing climate change.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.966
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0210.018

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 head0.017
GPT teacher head0.235
Teacher spread0.218 · 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; both teacher heads agree on what is shown here.

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

Citations5
Published2024
Admission routes1
Has abstractyes

Explore more

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