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Record W3171600146

Mollohuanca Cruz & Association of Livestock Producers of Huinipampa-Espinar v. Ministry of the Interior of Peru, et al (amicus curiae brief)

2018· article· en· W3171600146 on OpenAlexaff
Charis Kamphuis

Bibliographic record

VenueSSRN Electronic Journal · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Law and Human Rights
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsImpartialityConstitutionalityAdjudicationLawPolitical scienceConstitutionRule of lawDemocracyInternational lawHuman rightsConstitutional courtState (computer science)Charter
DOInot available

Abstract

fetched live from OpenAlex

This amicus curiae brief offers the Constitutional Court of Peru information about some of the instruments of international law and policy that are relevant to the adjudication of a case that raises serious questions regarding the constitutionality of a series of “extraordinary and complementary” services contracts formed between mining company Xstrata Tintaya (now Antapaccay Mining) and the Peruvian National Police Force (“PNP”) with the objective of providing security services to the infrastructure and personnel associated with Tintaya Mine (now Antapaccay), located in Espinar Province in the Department of Cusco. This case is important because the terms of the Tintaya-PNP contract are very similar to a number of other contracts that the amicus authors have personally examined between foreign resource companies and the PNP. The Peruvian Constitution protects values such as the rule of law, equality, non-discrimination and the community’s rights to security. In this amicus, we present international statements of law and policy that establish the importance of the principle of police impartiality and its critical relationship to the principles of equality, non-discrimination and rule of law in a democratic society. Referring to these international statements, we argue that the contracts between the PNP and the transnational mining companies, are inconsistent with the well established principle that the state must provide security services to its citizens in a manner that is impartial and responsive to the special needs of society’s most vulnerable members.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.094
Threshold uncertainty score0.187

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.002
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0100.005
Insufficient payload (model declined to judge)0.0160.002

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 head0.010
GPT teacher head0.229
Teacher spread0.219 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2018
Admission routes1
Has abstractyes

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Same venueSSRN Electronic JournalSame topicCorporate Law and Human RightsFrench-language works237,207