Zoocialization: Learning Together, Becoming Together in a Multispecies Triad
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Herding cattle across the landscape requires three species – horse, cattle, and human – to move together in a goal-orientated, albeit human-centered, activity. In this multispecies activity, they must synchronize through embodied communication and develop a shared understanding of moving conjointly. Together, all three species are socialized, or “zoocialized,” to learn to engage in a shared community of communication where they develop a sense of “timing” and “feel” of the others to enable their directed movement together. While not denying or downplaying the power and pain integral to cattle ranching, we explore and interpret the interspecies, multispecies communication, collaboration, and choreography. Based on a multispecies ethnographic methodology, we draw on experiences from cattle herding in the USA, Canada, and Sweden. What emerges are intricate relations of agency, shaped by meanings of species, where human and nonhuman social actors learn to meet and construct a vibrant multispecies community of communication.
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.
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 | 0.000 |
| Science and technology studies | 0.002 | 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 | 0.000 |
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 it