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Record W4406398024 · doi:10.1017/s0034670524000433

Review Essay: Postanthropocentric Political Theories

2025· article· en· W4406398024 on OpenAlexaff
Andrew Biro

Bibliographic record

VenueThe Review of Politics · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsAcadia University
Fundersnot available
KeywordsPoliticsEpistemologyPolitical scienceSociologyEnvironmental ethicsPositive economicsPhilosophyLawEconomics

Abstract

fetched live from OpenAlex

At least since Aristotle defined human beings as “political animals,” politics in the Western tradition has largely been defined in anthropocentric terms. Politics was a realm of distinctively human endeavors, while nonhuman nature remained outside. Nature might impinge on or set limits to political action, but was conceived as constitutively outside of politics. However else nonhuman entities might engage with humans or each other, these relations or engagements were not understood as political. Until quite recently, Western political theory was decidedly anthropocentric. The rise of environmental problematics, and particularly the political salience of the global climate crisis, however, have made the idea of a constitutive separation between (nonhuman) nature and (human) politics less tenable. Not only the material manipulation of the nonhuman world, but also its conceptual framing, are increasingly understood as political projects. 1 At the same time, Western political thought has become increasingly open to non-Western cosmologies that do not posit a rigid divide between human and non- (or more-than-) human worlds. Environmental (or green) political theory has become an increasingly robust subdiscipline, 2 and political theory, like a number of other humanities disciplines, has undergone an “animal turn.” 3 Three of the four recent books under consideration form part of this latter animal turn while Sharon Krause’s Eco-Emancipation is firmly situated in the field of environmental political theory.

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)0.001
metaresearch head score (Gemma)0.003
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.803
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.399
Teacher spread0.377 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations2
Published2025
Admission routes1
Has abstractyes

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