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Record W1994751689 · doi:10.1177/0263276410362090

Biopolitical Economies and the Political Aesthetics of Climate Change

2010· article· en· W1994751689 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTheory Culture & Society · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsnot available
FundersChurchill Northern Studies Centre
KeywordsAestheticsPoliticsMultitudeEnvironmental ethicsRealmSociologyAgonismArgument (complex analysis)AmbivalencePolitical sciencePhilosophyLawSocial psychologyPsychology

Abstract

fetched live from OpenAlex

As environments and their inhabitants undergo a multitude of abrupt changes due to climate, in the aesthetic field there has been a hardening of a few representational figures that stand in for those contested political ecologies. Biodiversity loss and habitat change can be seen to be forcing an acceleration of archival practices that mobilize various images of the ‘play of the world’, including the making of star species to represent planetary loss, and the consolidation of other species into archives implicitly organized around the category of their destruction. The first section of this article looks at Jacques Rancière’s concept of political aesthetics in order to extend an argument about the importance of aesthetics in multispecies living beyond a concentration on practices per se and into a more excessive engagement articulated by Georges Bataille. I argue that aesthetics must be considered as part of the practice of politics and a space that configures the realm of what is possible in that politics. This is to suggest aesthetics as a form of ethics or an ‘aesthetics of existence’, as Foucault put it. The conclusion considers how a biopolitical aesthetic comes into being through such archival practices, and asks what aesthetic shifts would make the ‘play of the world’ more present in its absences.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.330
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.006
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 head0.018
GPT teacher head0.312
Teacher spread0.294 · 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