Bibliographic record
Abstract
Our own animately e/motional bodies are yearning for relationships with other bodies of the more-than-human kind. To support this opinion, I describe an intra-action caring for three rescued piglets that led to an awareness of human animal and animal-other relationships. The following questions are addressed: 1) What is involved corporeally, e/motionally, and sensorily in interspecies intra-actions? 2) What are the affects and telling effects of these intra-actions? I describe how my intra-action with the piglets manifested an awareness of the liveliness of other animals, and an understanding of interspecies kinship. To further understand interspecies kinship, I explore the role of the body, and the e/motional and sensory affordances of the intra-actions involving me and the piglets. The concepts of corporeality, inter-corporeality, and trans-corporeality are considered. In the second part of the paper, I describe tensions of human exceptionalism that were revealed in caring for the piglets.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 0.018 |
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".