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Record W2885365491 · doi:10.18542/hendu.v7i1.6012

Importação, Exportação e Consenso Regional na Corte Interamericana de Direitos Humanos

2018· article· pt· W2885365491 on OpenAlex
Gerald L. Neuman

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

VenueHendu – Revista Latino-Americana de Direitos Humanos · 2018
Typearticle
Languagept
FieldSocial Sciences
TopicComparative constitutional jurisprudence studies
Canadian institutionsIntertek (Canada)
Fundersnot available
KeywordsHumanitiesHuman rightsPolitical sciencePhilosophyLaw

Abstract

fetched live from OpenAlex

A Corte Interamericana de Direitos Humanos elaborou um significativo corpo jurisprudencial de direitos humanos por meio da interpretação de convenções regionais de direitos humanos, da adaptação de precedentes globais, europeus e do soft law global. A Corte Interamericana também aspirou influenciar para além de sua região ao oferecer interpretações inovadoras dos direitos humanos e identificando normas caracterizadas como jus cogens. A metodologia da Corte nos anos recentes parece atribuir insuficiente consideração ao consenso da comunidade regional dos Estados como um fator na interpretação evolutiva de um tratado de direitos humanos. O artigo ilustra e critica essa tendência, e argumenta que maior atenção aos indícios de consenso regional poderia aprimorar a aceitação e a eficácia do sistema interamericano de direitos humanos.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.380
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0050.015
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.091
GPT teacher head0.389
Teacher spread0.298 · 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