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Record W2874299775 · doi:10.1111/joac.12289

The disappearance of water buffalo from agrarian landscapes in Western China

2018· article· en· W2874299775 on OpenAlex
Jean‐François Rousseau, Janet C. Sturgeon

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Agrarian Change · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicRangeland Management and Livestock Ecology
Canadian institutionsSimon Fraser UniversityUniversity of OttawaGlobal Affairs Canada
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsLivelihoodModernization theoryChinaAgrarian societyState (computer science)SustainabilityCash cropEthnic groupGeographyLand tenurePolitical scienceEconomic growthEconomyAgricultureEconomicsEcology

Abstract

fetched live from OpenAlex

Abstract For centuries, water buffalo served important livelihood functions for ethnic minority farmers in Southwest China. Yet, over the past decade, buffalo ownership decreased dramatically in our research sites in Yunnan province. This transition occurred after state policies and projects excluded villagers from significant portions of their land. Increased state control over landscapes allowed the state to respatialize land uses in ways conducive to productivist and environmentalist logics, with farmers cultivating cash crops on limited production landscapes and state agencies taking over control of larger environmental landscapes. Buffalo are welcome in neither setting. Handai and Akha farmers have divergent perceptions on the outcomes of these technological shifts, with Handai beginning to question buffalo loss while Akha having contented to become “modern” farmers. In both cases, our analysis challenges the literatures on sustainability transitions and ecological modernization that posit apolitical and optimistic outcomes for farmers' adoption of “modern” and “green” technologies.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.675

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.217
Teacher spread0.205 · 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