Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.022 | 0.006 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".