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Record W2521493703 · doi:10.7202/1068396ar

THE INTER-AMERICAN HUMAN RIGHTS SYSTEM FIFTY YEARS LATER: TIME FOR CHANGES

2020· article· en· W2521493703 on OpenAlexvenueno aff
Ariel Dulitzky

Bibliographic record

VenueRevue québécoise de droit international · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsCharterCommissionPolitical scienceDemocracyFundamental rightsLawTribunalInternational human rights lawFacilitatorWork (physics)Promotion (chess)Linguistic rightsPoliticsRight to propertyEngineering

Abstract

fetched live from OpenAlex

This article analyzes the latest reforms of rules and regulations of the Inter-American Commission on Human Rights (IACHR) and the Inter-American Court of Human Rights and the overall functioning of the Inter-American human rights system. Particularly the article focuses on the strengths and weaknesses of the judicialization of the Inter-American amparo . The paper identifies the measures necessary to allow the Inter-American system to play a more prominent role in the promotion and protection of human rights. Specific measures include mainstreaming the work of the OAS around human rights issues, including in the Inter-American Democratic Charter a stronger link between democracy and the protection of human rights, and balancing the work on individual complaints with other tools available to the IACHR. It proposes a fundamental change in the IACHR’s profile through the modification of its participation in the individual petition system. The Commission should only act as an organ of admissibility and facilitator of friendly solutions, and the Court as a tribunal that carries out findings of fact and makes legal determinations on the merits of complaints. The IACHR needs to concentrate more heavily on political and promotional activities that complement its limited participation in the processing of individual cases.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.958
Threshold uncertainty score0.995

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.273
Teacher spread0.257 · 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 designTheoretical or conceptual
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

Citations22
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueRevue québécoise de droit internationalSame topicInternational Law and Human RightsFrench-language works237,207