Bibliographic record
Abstract
This essay pursues a double strategy to transform our human collective relation to animal life. On the one hand, and this strategy is due to Derrida’s thought, it attempts to criticize the belief that humans have a kind of subjectivity that is substantially different from that of animals, the belief that humans have in their self-relation (called auto-affection) a relation of pure self-presence. On the other hand, the essay attempts to enlarge the idea of auto-affection to include the voices and looks of animals in us. Being in us, the image of animal suffering changes who we are. Hence the subtitle. This second strategy is due to Deleuze’s (or more precisely Deleuze and Guattari’s) thought. In fact, a large portion of this essay is devoted to a conceptual reconstruction of Deleuze and Guattari’s important concept of becoming. I argue that there are two central features of this concept. First, the concept of becoming involves a process of desubjectification which allows for the image of animal suffering to inhabit our consciousness as a “feverish thought.” Second, the outcome of becoming is not only that, due to the feverish thought, we change, but also that we write about this experience in order to lead others to it. The essay ends therefore by invoking a kind of writing—folktales—as a way of calling for a “people to come” (Deleuze) or a “democracy to come” (Derrida).
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".