Bibliographic record
Abstract
Werner Herzog’s documentary film Grizzly Man about the life and death of Timothy Treadwell invites us to consider the relation between Deleuze and Guattari’s concept of becoming-animal and phenomenological accounts of lived embodiment. In this paper I begin with a general account of becoming-animal and suggest that this concept is helpfully elucidated by considering the ways in which some aspects of Deleuze and Guattari’s practice can be understood as a rhizomatic phenomenology of our lived experience that in part extends the work of Merleau-Ponty. What emerges between the two philosophies is the possibility of bodily "molecularity" as a mode of lived embodiment. I argue that this molecularity is what enables the potential interpermeation of bodies across their differences, such as occurs in the event of becoming-animal. Alphonso Lingis’s descriptions of our becoming-animal as lived experience serve here as an evocative source for clarifying this proposition further. I conclude by returning to Herzog’s film to consider the risks and consequences of becoming-animal--not only for the human who becomes, but also for the animal who, as Deleuze and Guattari note, is no less transformed.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.041 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| 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".