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Record W4212993825 · doi:10.1080/09502386.2022.2034909

Lithium’s buzz: extractivism between booms in Bolivia, Argentina, and Chile

2022· article· en· W4212993825 on OpenAlex
Donald Kingsbury

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.

Bibliographic record

VenueCultural Studies · 2022
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMarketing buzzLivelihoodBoomSpeculationClimate changeRestructuringRedressPolitical scienceGrassrootsEconomyGeographyPolitical economyDevelopment economicsSociologyAgricultureEconomicsPoliticsBusinessEcology

Abstract

fetched live from OpenAlex

Plans for decarbonizing energy transitions – attempts to mitigate the climate crisis through electrifying the global economy – will require minerals like lithium for the electric vehicles and batteries of the near future. As a result, a ‘buzz’ of economic speculation, governmental policy making, and grassroots opposition is intensifying in the so-called ‘lithium triangle’ in Southern Bolivia, north western Argentina, and Northern Chile. Using archival investigation and stakeholder interviews this article examines the temporal and spatial effects of the extractivist buzz as it operates through complex ecological and social dynamics complicated further still by energy transitions. As decarbonization and the climate crisis inform and inflect extractivism, they also offer new vantages from which to understand established global, regional, and local power relations. Extractivism produces and shapes landscapes and timescapes through anticipation, frontiers, and sacrifice: buzz, boom, and bust cycles that have shaped livelihoods and landscapes in these three countries since colonization.

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 score0.296
Threshold uncertainty score0.350

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)0.0000.000

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 head0.038
GPT teacher head0.262
Teacher spread0.223 · 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