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Record W7064097735

Biopolitics of the Plasticene

2020· other· en· W7064097735 on OpenAlexaboutno aff

Bibliographic record

VenueGoldsmiths (University of London) · 2020
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsBiopowerMateriality (auditing)ObsolescenceOverfishingCentralityForegroundingReuseAdaptabilityAnthropocene
DOInot available

Abstract

fetched live from OpenAlex

The proliferation of plastics in terrestrial, aquatic and marine environments is not only transforming the ecology of the planet, but also altering the biochemical makeup of living organisms through food consumption, drinking water and micro-particles in the air. In the age of plastic, the dispersal and infiltration of synthetic components raises environmental as well as chronic biopolitical questions that are entangled with the terminal infrastructures of carbon capitalism, with its cycle of resource extraction, mass production, inbuilt obsolescence and disposal. How have artists utilized the materiality of plastics to investigate the breakdown of the division between the synthetic and the natural, the emergence of hybrid forms and the extent of the adaptability of living organisms to plasticized environments? In what ways has contemporary art disclosed the centrality of plastic to consumerism-driven economic systems since the mid-twentieth century and contested the culture of overproduction and waste that it represents? What are the most viable options in meeting the ecological and biopolitical challenges of life in the plastisphere?
\n
\nPanel discussion exploring artistic interventions in a plasticized world, with presentations by art historian Amanda Boetzkes (University of Guelph, Canada), author of Plastic Capitalism: Contemporary Art and the Drive to Waste (MIT Press, 2019) and Polish artist Diana Lelonek, creator of the Centre for Living Things (2016-ongoing), a response by Wood Roberdeau (Critical Ecologies, Goldsmiths), moderated by Maja and Reuben Fowkes (Institute for Advanced Studies, UCL).

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.287
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.2870.000

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 head0.007
GPT teacher head0.186
Teacher spread0.179 · 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.

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
Published2020
Admission routes1
Has abstractyes

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