Becoming Horse in the Duration of the Moment: The Trainer's Challenge
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
Language skirts the somatic fringes of the moment, particularly in practices where the powers of human speech and writing seem nullified. Horse training is one such practice. We tell stories of horse training that sensitize us and bring us close to creatures whose movements, resonating with our own, connect us to a prelinguistic, animate world. In so doing, we bridge the gap between the reflective detachment of our customary, wordy practices and the wordlessness of pre-reflective animality. Yet a phenomenological discursiveness shows us how vital moments of “becoming animal” can be consciously and linguistically sustained. “Becoming horse in the duration of the moment” addresses the corporeally-charged consciousness of being with horses on the ground and in the saddle. This paper describes a relationality and temporality that, though mostly wordless in strictly human terms, speaks a sophisticated language of moment resonance. In so doing, it contests the dualisms of verbal and non-verbal discourses, the separation of humans and other animals, and the divisions that keep somaticity on the fringes of consciousness. It responds to the ecological challenge to get beyond the linguistic appropriation of the other, human speciesism and anthropomorphic projections, in order to discern the kinesthetic and energetic expressivities of connecting with other beings and with the elements of animate existence. Horse training provides a case for “living” in the somatic fullness of the moment.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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