Bibliographic record
Abstract
Abstract For Indigenous Soyot herder-hunters of the Eastern Sayan Mountains in western Buryatia, maintaining a sustainable multispecies encampment is a matter of pacing the individual rhythms of the species belonging to it. Domestication in this context is not a matter of human control but of attuning and influencing life rhythms in other beings. Formerly divided into yak and reindeer herding groups, contemporary Soyots no longer rely on reindeer today. Meanwhile, their Tofa neighbours continue to use trained reindeer in their hunting. This paper explores possible reasons for the gradual abandonment of Soyot reindeer herding in the mid nineteenth century, drawing on irreconcilable rhythms. Four regional strategies for coping with divergent species’ rhythms are explored: abandonment of a species in a rangifer-cattle context; alignment of yak and Mongolian cattle reproductive rhythms for hybrid production; juxtaposition of equine and rangifer rhythms; and inversion of cattle and fish migratory routes. The article concludes with a new theory to help address rhythmical multispecies togetherness in the Eastern Sayan Mountains.
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 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 | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.017 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 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; 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".