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Record W3022585431 · doi:10.1163/22105018-12340136

Pacing Transhumance

2020· article· en· W3022585431 on OpenAlexaff
Alex Oehler

Bibliographic record

VenueInner Asia · 2020
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsHerdingDomesticationAbandonment (legal)GeographyContext (archaeology)IndigenousEcologyRhythmEthnologyBiologyHistoryArchaeologyPolitical scienceArt

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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.

Opus teacher head0.071
GPT teacher head0.379
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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