Bibliographic record
Abstract
This paper is based on the eco-pedagogical aspiration to live with domesticated animals in accordance with Alphonso Lingis's Community of those who have nothing in common. I draw uponthis remarkable text as well as Lingis's animal writings in describing moments and movements of pathic community. Such a community in affective affiliation with one another, where symbiotic relations are possible and bodily kinships are exercised, exemplifies what is possible in more rational human communities where domesticating impulses seek to harness the vital powers of coconstitutive life. Of telling significance are predatory threats, the manner in which they appear, and the protectionist responses they occasion. By recasting these threats and responses in terms ofmotional affordances, it may well be possible to move with non-human creatures, both literally and figuratively, beyond the anthropocentric confines of domestication. Animals with whom weappear to have nothing specifically, or in species terms, in common can show us how to cultivate more pathic communities of our own kind.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".