To think and act ecologically: the environment, human animality, nature
Bibliographic record
Abstract
Much work in care ethics and disability studies is concerned with the flourishing of human animals as an independent species. As a result, it focuses on how the built environments and the social structures that produce them restrict and exclude us. This paper addresses this problem and provides tentative first steps towards sketching an account of ethics that is structured around the interdependent nature of human and more than human life. I argue that our embodied existence places us in a shared condition of vulnerability with all forms of life on earth. This allows us to conceive of caring as an essential condition of the sustainability and well-being of social and ecological life systems. To this end, I discuss the notion of anthropocentrism – and the attendant notion of Anthropocene – and argue that the conception of human animality that underwrites it posits a disembodied and homogenous ‘anthropos’ that is equally responsible for and equally affected by unsustainable social systems. Further, I examine the debate that opposes realist and constructivist accounts of nature, and I argue that it is inadequate to look at nature through the lenses of the predatory social systems that are responsible for ecological injustices in the first place.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.089 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".