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Record W4389008749 · doi:10.1016/j.polgeo.2023.103013

Indigenous mobilization and territorial ordering in the Amazon

2023· article· en· W4389008749 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.

Bibliographic record

VenuePolitical Geography · 2023
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsIndigenousContext (archaeology)Ethnic groupPoliticsPolitical scienceNatural resourceAmazon rainforestIdentity (music)Inclusion (mineral)Collective identityMobilizationSociologyPolitical economyGender studiesGeographyLaw

Abstract

fetched live from OpenAlex

The paper examines the creation of the district of Megantoni, home to vast reserves of natural gas currently exploited by the Camisea project, as an example of recent territorial ordering in Peru. We focus on the political conditions that enable communities to renegotiate potential advantages from existing extractive projects. We emphasize the politicization of collective identities as central for advancing the claims of diverse ethnic groups, while drawing attention to the conflation of contextual factors that made the mobilization of Indigenous communities for the creation of their own district more likely. These factors are related to Camisea's sustainable energy discourse, domestic security threats linked to political violence and drug-trafficking, and a political discourse based on social inclusion. The paper demonstrates the varied uses of territorial ordering outside resistance in the context of resource extraction. It also shows that Indigenous identity can be politicized for cooperation among diverse ethnic groups, and in this way, advance their territorial project and secure access to benefits from existing projects.

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 score0.187
Threshold uncertainty score0.181

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 head0.008
GPT teacher head0.216
Teacher spread0.208 · 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