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Record W7018283619

Counterhegemonic Forms of Justice: The Potential of Permanent Peoples Tribunal in the Context of Resource - based Conflicts and Human Rights Violations in Guatemala

2019· other· en· W7018283619 on OpenAlexaboutno aff

Bibliographic record

VenueLeiden Repository (Leiden University) · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsTribunalImpunityHuman rightsIndigenousContext (archaeology)SovereigntyIndigenous rights
DOInot available

Abstract

fetched live from OpenAlex

This thesis is about the confrontation between two forms of justice. One institutionalized as law, and the other, depending on situational embodied forms of doing justice. Further, it is about the confrontation between sources of law. One source relates to sovereign nation states as top down mechanism, and the other, to indigenous peoples as bottom-up process. The analysis applies a bottom-up approach, as suggested by decolonial critical thought, that questions elemental assumptions about dominant neoliberal institutional frameworks. This thesis cannot solve these tensions. It tries to investigate their dynamics on the basis of a specific case, which is, the ethical tribunal, established by Maya Mam indigenous peoples in 2012, that accuses the Canadian mining company Goldcorp for committing human rights violations through its extractive activities in the area of San Marcus Ixtahuacán, Guatemala. Instead of coming up with a solution, the thesis wants to question dominant legal frameworks that permit human rights violations and reveal the capacity of informal legal compositions to install grounds of justice. It was identified that the ethical tribunal contributed to unfold the seemingly uncontested nature of neoliberal extractive activities through its potential to challenge impunity and establish access to cognitive, and epistemic forms of justice.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.218
Teacher spread0.210 · 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.

Study designObservational
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

Citations0
Published2019
Admission routes1
Has abstractyes

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