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Record W1661923772

Colombia y el transpacific partnership agreement

2015· dissertation· es· W1661923772 on OpenAlexaboutno aff
Navarro Diaz De Leon, Karen Sofía

Bibliographic record

Venueinstname:Universidad del Rosario · 2015
Typedissertation
Languagees
FieldSocial Sciences
TopicInternational Relations in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceGeographyCartographyArt
DOInot available

Abstract

fetched live from OpenAlex

Colombia, a partir de 1990, inicia un plan de gobierno enfocado en la apertura económica, con estrategias que propugnaban por un cambio en el modelo económico a través de políticas como la reducción de aranceles a las importaciones y otra serie de medidas proteccionistas, flexibilización laboral, la reducción del papel del Estado para darle protagonismo al sector privado y procesos de privatización de empresas públicasEn este entorno internacional se ha adquirido conciencia de que, en un mundo globalizado y cada vez más interdependiente, no puede haber espacio para “aventuras solitarias de Estados soberanos”, lo que justifica la proliferación de organizaciones multilaterales en América Latina y el Caribe en la última década.Recientemente Colombia ha mostrado su interés en entrar a formar parte de un bloque económico de gran relevancia a nivel internacional: el Transpacific Partnership Agreement (TPP); tratado integrado por: Canadá, Estados Unidos, México, Perú, Chile, Japón, Vietnam, Malasia, Singapur, Brunei, Australia y Nueva Zelanda, representando el 35% del PIB mundial y el 11% de la población.El presente trabajo pretende presentar una visión objetiva del TPP, generando el espacio para la libre interpretación de sus beneficios o perjuicios. Para ello, se analiza el estado actual del TPP con sus principales indicadores, su desempeño en los últimos años y las relaciones diplomáticas y los flujos comerciales entre Colombia y los países miembros del mismo.

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)0.002
metaresearch head score (Gemma)0.007
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 score0.204
Threshold uncertainty score0.407

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0080.003
Open science0.0010.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0170.001

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 head0.032
GPT teacher head0.356
Teacher spread0.324 · 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
Published2015
Admission routes1
Has abstractyes

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