MétaCan
Menu
Back to cohort
Record W1976151253 · doi:10.1163/146481704793647234

The Transformation of Pastoralism in Buryatia: The Aginsky Steppe Example

2004· article· en· W1976151253 on OpenAlexaboutno aff
Nikolay Kradin

Bibliographic record

VenueInner Asia · 2004
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsPastoralismArable landLivestockSteppeGeographyQuarter (Canadian coin)AgricultureHerdingSubsistence agricultureHerdEconomyPolitical scienceAgricultural economicsEconomicsEcologyBiologyArchaeologyForestry

Abstract

fetched live from OpenAlex

Abstract This article deals with the structure of the pastoral economy of East Trans–Baikalian Buryats (Aginsky region). The herd structure used to include the five basic species of domestic animals of Eurasia: sheep, cattle, horses and, more rarely, goats and camels. A horse was of the utmost economic and status significance. However, the quantity of sheep and goats was larger. The pastoral groups owned the land and the nomads migrated with their herds along their traditional seasonal routes. In the last quarter of the nineteenth century, the influence of the Russian economy on the Buryat nomadic economy began to increase. In the USSR, these processes were more intensive. A complete sedenterisation of Buryat society took place. Agriculture was developed and nearly one-quarter of the pastures were used as arable lands. The pastoral economy changed from subsistence to one that was guided by the market. Since wool and meat were valuable commodities new breeds of sheep were raised, and the number of sheep increased greatly thereby giving rise to degradation of pastures. The ecological crisis did not develop on a large scale only because political (collapse of the USSR) and economic crises were ahead of it. As a result, the cattle-breeding and livestock economies of the Aginsky Buryats have fallen into decay. At present, although a crisis situation has been held back, progress is not observed.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.580
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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.

Opus teacher head0.039
GPT teacher head0.346
Teacher spread0.307 · 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; a candidate call from one teacher head, not a consensus.

Study designQualitative
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

Citations3
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueInner AsiaSame topicIndigenous Studies and EcologyFrench-language works237,207