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Record W3129946032 · doi:10.1163/9789004440531

International Law and Transition to Peace in Colombia

2021· book· en· W3129946032 on OpenAlexfundno aff
César Rojas-Orozco

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicConflict, Peace, and Violence in Colombia
Canadian institutionsnot available
FundersFundación para el futuro de ColombiaUniversity of OxfordNational Science FoundationYale UniversityUniversity of CambridgeSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungMcGill UniversityGeorgetown University
KeywordsTransition (genetics)Political scienceLawInternational lawLaw and economicsSociologyChemistry

Abstract

fetched live from OpenAlex

5.2.1 Differential Approach for the Attention and Reparation of Victims of Armed Conflict 117 5.2.2 Participation of Victims and Civil Society in the Peace Negotiations 118 5.2.3 Differential Gender and Ethnic Approaches in the Peace Agreement 119 6 Conclusions 121 3 Jus Post Bellum Viewed from the Colombian Transition 124 1 A Definition of Jus Post Bellum from the Colombian Experience 125 This book is the result of my PhD thesis in International Law at the Graduate Institute of International and Development Studies in Geneva.I am deeply grateful to Professor Vincent Chetail, my mentor and supervisor

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.190
Threshold uncertainty score0.379

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0060.007
Scholarly communication0.0100.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.022
GPT teacher head0.316
Teacher spread0.293 · 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 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

Citations9
Published2021
Admission routes1
Has abstractyes

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