Bibliographic record
Abstract
Against the prevalent trend in eco-criticism which is to deny the human difference, I summon a set of untimely tropes from metaphysics in the interest of advancing an ecological humanism: the difference in kind between human consciousness and animal sensibility; the uniquely human capacity for moral discernment; and the human being’s peculiar freedom from the material conditions of existence. While I agree with eco-critics who argue that anthropocenic nature is not only finite, but sick: sickened by our abuse and neglect, I disagree that this abuse is simply a result of insisting on the human difference (“anthropocentrism”), nor is species egalitarianism the way forward. On the contrary, the eco-collapse, referred to as the sixth great extinction event, is the consequence of a general disavowal of the human’s special call to take responsibility for the relation between the human and the non-human, and only a re-awakening of this responsibility can restore health to anthropocenic nature. The non-human cannot effect this restoration, for that is not its vocation. A difference in vocation is not necessarily a difference in moral worth, and so the human difference does not justify denying the “intrinsic value” of the non-human. Humanity is uniquely responsible both for the mess we are in and for cleaning it up.
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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.046 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.010 | 0.021 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".