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Record W4403064501 · doi:10.1177/00471178241269799

Generative decay: toward a politics of and for earth

2024· article· en· W4403064501 on OpenAlexaff
Audra Mitchell

Bibliographic record

VenueInternational Relations · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical and Economic history of UK and US
Canadian institutionsBalsillie School of International Affairs
Fundersnot available
KeywordsPoliticsGenerative grammarEarth (classical element)Political scienceLinguisticsPhilosophyPhysicsLawAstronomy

Abstract

fetched live from OpenAlex

This article assesses the possibility of transforming International Relations (IR) and Global Environmental Studies (GES), reflecting on the contributions to this special edition. It argues that despite passionate efforts by critical scholars, activists, practitioners, and others to transform these disciplines, they remain structurally and epistemically rooted in oppressive logics that are fundamentally at odds with the planet and its processes, and aligned with the ‘CRAACHE+ formation’ (a set of interlocking modes of structural violence compromising colonialism, racism, ableism, anthropocentrism, capitalism, heteropatriarchy, eugenics, and their alloys). Instead of working to recuperate IR and GES, the article calls for an ecological approach to knowledge production in which the knowledge and resources accumulated within these disciplines is made available for repurposing by communities and movements working to align their politics with earth processes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.022
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0110.109
Scholarly communication0.0220.022
Open science0.0020.018
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0080.001

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 head0.063
GPT teacher head0.361
Teacher spread0.298 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2024
Admission routes1
Has abstractyes

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