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Record W2228616027

Cooperación y Asistencia Judicial con la Corte Penal Internacional: el Caso de Ecuador (Cooperation and Judicial Assistance with the International Criminal Court: A Case-Study of Ecuador)

2007· article· es· W2228616027 on OpenAlexaff
Salvador Herencia Carrasco

Bibliographic record

VenueSSRN Electronic Journal · 2007
Typearticle
Languagees
FieldSocial Sciences
TopicLegal processes and jurisprudence
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCriminal courtStatutePolitical scienceHumanitiesPenal codeLatin AmericansLawRome Statute of the International Criminal CourtDerechoStatute of limitationsInternational lawArt
DOInot available

Abstract

fetched live from OpenAlex

Spanish Abstract: Este ensayo es parte de una publicacion conjunta que analiza los desafios en America Latina, Espana, Alemania e Italia para implementar mecanismos de cooperacion y asistencia a la Corte Penal Internacional. El ensayo se centra en las reformas que se deben contemplar en el Codigo de Procedimiento Penal de Ecuador, con el fin de poder cumplir con las disposiciones establecidas en el Parte IX del Estatuto de Roma. English Abstract: This essay is part of a publication that analyzes the challenges to implement internal mechanisms to cooperate and assist the International Criminal Court in Latin America, Spain, Germany and Italy. The essay focuses on the reforms needed in the Criminal Procedural Code of Ecuador in order to fully implement cooperation dispositions in Part IX of the Rome Statute.

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)0.003
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.003
Scholarly communication0.0040.002
Open science0.0020.005
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.012
GPT teacher head0.310
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

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 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

Citations0
Published2007
Admission routes1
Has abstractyes

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