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Record W2037138779 · doi:10.4337/jhre.2012.03.03

Foreign mining, law and the privatization of property: a case study from Peru

2012· article· en· W2037138779 on OpenAlexaff
Charis Kamphuis

Bibliographic record

VenueJournal of Human Rights and the Environment · 2012
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsMultinational corporationIndigenousConvergence (economics)Property rightsHuman rightsDamagesPolitical sciencePower (physics)ColonialismCommon lawState (computer science)BusinessLaw and economicsLawEconomicsEconomic growth

Abstract

fetched live from OpenAlex

This article focuses on the convergence of the corporate power of Yanacocha Mine with the Peruvian State's public power, studied in relation to two interrelated and fundamental sites of power: Indigenous land rights and the regulation of the use of force. The analysis presents two international human rights litigation initiatives: the Negritos Case and the GRUFIDES Case, which illustrate the complex relationship between Peru's colonial history, Yanacocha's current status as one of the most profitable goldmines in the world, serious land rights violations, and the emergence of widespread social protest and the escalating use of private security companies by multinational mining companies. The analysis addresses four legal processes flowing from the private–public convergence: (1) the dispossession of Campesino communal land; (2) the production of Campesino consent; (3) the privatization of coercive force; and (4) the absence of effective legal remedies. The conclusion considers the significance of the case study for those who seek to use the law to engage in practices of resistance to the power configuration represented by the private–public convergence.

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 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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score0.134

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 head0.011
GPT teacher head0.189
Teacher spread0.178 · 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 teacher head, 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

Citations4
Published2012
Admission routes1
Has abstractyes

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