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Record W2968566647 · doi:10.1080/03066150.2019.1604511

Vertical farming: tin mining and <i>agro-mineros</i> in Bolivia

2019· article· en· W2968566647 on OpenAlexfundno aff
Andrea Marston

Bibliographic record

VenueThe Journal of Peasant Studies · 2019
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaPierre Elliott Trudeau FoundationCenter for Latin American Studies, University of California, BerkeleyAmerican Council of Learned SocietiesAndrew W. Mellon Foundation
KeywordsAgricultureTinBusinessNatural resource economicsEconomicsGeography

Abstract

fetched live from OpenAlex

Throughout Bolivia, collectives of small-scale miners known as ‘mining cooperatives’ have developed a reputation for cutthroat extractive practices that were shaped by neoliberal restructuring starting in the 1980s. Charting a history that starts at the turn of the twentieth century, this paper argues that cooperative mining in the tin belt of Northern Potosí has emerged as a vertical instantiation of small-holder farming practices that migrated, along with miners themselves, from surrounding indigenous ayllus. In the subterranean, however, these practices interacted with the legacies of tin mining, which was characterized by labor hierarchies that corresponded with vertical variation in ore quality. New social striations crystallized as small-holder farming customs settled into the subterranean structure, creating sharp social differentiation across these subsoil ‘family farms.’ The class composition of mining cooperatives at the national level has been shaped by these entangled underground histories, with implications for the country’s economic and environmental futures.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score0.294

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.233
Teacher spread0.217 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations26
Published2019
Admission routes1
Has abstractyes

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