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Record W3161446318 · doi:10.1177/10704965211019083

The Politics of Transnational Advocacy Against Chinese, Indian, and Brazilian Extractive Projects in the Global South

2021· article· en· W3161446318 on OpenAlex

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

VenueThe Journal of Environment & Development · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCivil societyChinaContext (archaeology)PoliticsState (computer science)Political scienceEmerging marketsGlobal SouthPower (physics)Development economicsEconomyPolitical economySociologyEconomicsEconomic geographyGeography

Abstract

fetched live from OpenAlex

Activists in the global South have been navigating two powerful trends since the mid-1990s: intensifying state repression and rising investment in extractive projects from the emerging economies of Brazil, Russia, India, China, and South Africa (BRICS). In this context, this article explores the underlying forces determining the formation, endurance, and power of BRICS-South transnational advocacy networks (TANs) opposed to BRICS-based corporate extraction in the global South. By analyzing activism against Chinese, Indian, and Brazilian extractive projects in Ecuador, Ethiopia, and Mozambique, respectively, the research reveals the critical importance of domestic politics and civil society characteristics in both the BRICS and host states for shaping BRICS-South TANs, including which groups assume leadership, the extent of cross-national cooperation, and the role of nonprofits headquartered in the global North. The findings uncover core reasons for the variable resiliency and capacity of BRICS-South TANs, opening up new avenues of research and offering valuable insights for activists and policymakers.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.688
Threshold uncertainty score0.373

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.012
GPT teacher head0.267
Teacher spread0.255 · 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