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Diálogos y casos iberoamericanos sobre derecho internacional penal, derecho internacional humanitario y justicia transicional

2020· book· es· W3132853293 on OpenAlexfundno aff

Bibliographic record

VenueUniversidad del Rosario eBooks · 2020
Typebook
Languagees
FieldSocial Sciences
TopicCriminal Justice and Penology
Canadian institutionsnot available
FundersUniversidad de los AndesUniversity of OttawaUnited Nations Educational, Scientific and Cultural Organization
KeywordsDerechoHumanitiesPolitical scienceInternational lawPhilosophyLaw

Abstract

fetched live from OpenAlex

Este libro es producto de la investigación de diversas inquietudes, de veintidós investigadores de diez países iberoamericanos, en torno a los desarrollos jurisprudenciales y los debates contemporáneos del derecho internacional en materia derecho internacional penal, derecho internacional humanitario, justicia transicional y las necesidades cambiantes de su protección y desarrollo en el contexto de la globalización. Esta investigación se instala en el contexto de una comunidad epistémica que se ha ido consolidando alrededor de las mesas temáticas que anualmente se reúnen en el Congreso Nacional de Derecho Internacional de la Facultad de Jurisprudencia de la Universidad del Rosario que, con el apoyo del Anuario Colombiano de Derecho Internacional, el Anuario Ibe- roamericano de Derecho Internacional Penal, el Instituto Iberoamericano de La Haya, la Red Latinoamericana de Revistas de Derecho Internacional, la Red de Investigación Perspectivas Ibero-Americanas sobre la Justicia y el Colegio de Abogados Rosaristas, se ha consolidado como el epicentro de grandes debates y promotor de investigaciones en favor del desarrollo hemisférico del derecho internacional.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.835
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0020.003
Scholarly communication0.0010.000
Open science0.0030.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.002

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 head0.040
GPT teacher head0.294
Teacher spread0.254 · 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; both teacher heads agree on what is shown here.

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
Published2020
Admission routes1
Has abstractyes

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