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Record W2051248656 · doi:10.1353/gsp.2011.0111

Critical Reflections on <i>MARO</i>: The View from Argentina

2011· article· en· W2051248656 on OpenAlexvenueno aff
Federico Gaitan Hairabedian, Alexis Papazian

Bibliographic record

VenueGenocide Studies and Prevention · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsGenocideContext (archaeology)Library scienceCitationInclusion (mineral)LawSociologyPolitical scienceHistorySocial scienceComputer science

Abstract

fetched live from OpenAlex

The following commentary aims to analyze the main characteristics of intervention described in MARO: Mass Atrocity Response Operations; A Military Planning Handbook and to also provide a legal and historical context in which to address that work. In other words, we believe that in order for the inner value of MARO to be assessed, the handbook should be contextualized with the history of American intervention and several aspects of international law. Follow this and additional works at: http://scholarcommons.usf.edu/gsp This Article is brought to you for free and open access by the Tampa Library at Scholar Commons. It has been accepted for inclusion in Genocide Studies and Prevention: An International Journal by an authorized administrator of Scholar Commons. For more information, please contact scholarcommons@usf.edu. Recommended Citation Hairabedian, Federico Gaitan and Papazian, Alexis (2011) Reflections on MARO: The View from Argentina, Genocide Studies and Prevention: An International Journal: Vol. 6: Iss. 1: Article 6. Available at: http://scholarcommons.usf.edu/gsp/vol6/iss1/6 Critical Reflections on MARO: The View from Argentina Federico Gaitan Hairabedian University of Buenos Aires and Luisa Hairabedian Foundation Alexis Papazian University of Buenos Aires, CONICET, and Luisa Hairabedian Foundation

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.572
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.097
GPT teacher head0.380
Teacher spread0.283 · 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.

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

Citations0
Published2011
Admission routes1
Has abstractyes

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