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Record W2226113693

La cooperación en América del Norte : de las seguridades económica y militar a la bioseguridad (2001-2009)

2014· dissertation· es· W2226113693 on OpenAlexaboutno aff
Carolina Cuartas Nader

Bibliographic record

Venueinstname:Universidad del Rosario · 2014
Typedissertation
Languagees
FieldSocial Sciences
TopicNuclear Issues and Defense
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

El nuevo orden internacional derivado de la Guerra Fria se caracterizo por la multiplicacion de nuevas amenazas a la seguridad y la construccion de bloques regionales con el proposito de enfrentarlas. Esta investigacion plantea que bajo tales circunstancias, en America del Norte, fue adoptada una agenda ampliada y profundizada en materia de seguridad que permitio articular las seguridades economica, militar y la bioseguridad. En este sentido, la configuracion de dicha agenda fue posible gracias a la adopcion de una retorica neoliberal de seguridad economica desde la puesta en marcha del Tratado de Libre Comercio en 1994, la cual luego del 11 de septiembre de 2001 fue articulada con la agenda de seguridad militar propuesta por el gobierno estadounidense en materia de lucha antiterrorista, que a su turno permitio la adopcion de una retorica y unas medidas extraordinarias en materia de bioseguridad, motivada por los ataques bioterroristas con antrax en EE.UU., el brote de SARS en Canada y la pandemia de AH1N1 en Mexico.

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)0.001
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: none
Teacher disagreement score0.654
Threshold uncertainty score0.696

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.009
GPT teacher head0.279
Teacher spread0.270 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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