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España: primer contribuyente del Banco Interamericano de Desarrollo en financiación no reembolsable

2012· article· es· W139908201 on OpenAlex
Ana María Martínez Jérez

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBoletín económico de ICE, Información Comercial Española · 2012
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicPublic-Private Partnership Projects
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Espana es el primer contribuyente del BID en financiacion no reembolsable. En el periodo 20092011, Espana aporto en su conjunto 615 millones de USD de financiacion no reembolsable, ampliamente por delante de Canada (105,5 millones de USD); Corea (34 millones de USD) y Japon (26,7 millones de USD), integrando estos cuatro paises el grupo de los principales donantes del BID. Desde un punto de vista geografico, en el quinquenio 2007-2011, Canada concentra el 83 por 100 de su financiacion no reembolsable en Haiti, tal concentracion no se da en ninguno de los otros tres paises, cuya financiacion no reembolsable se destina a un abanico de paises mas amplio. En el caso de Espana, el 80 por 100 de la financiacion no reembolsable se ha destinado a proyectos en 6 paises (Paraguay, Bolivia, Peru, Haiti, Guatemala, Republica Dominicana) y regionales, de los cuales 5 paises son considerados paises pequenos y vulnerables con un PIB de menos de 55.000 de USD; por el contrario, en Corea y Japon, la financiacion no reembolsable se ha destinado a proyectos en paises con un nivel superior de desarrollo: Brasil, Colombia, Mexico y Peru, los cuales absorben el 28 por 100 y 38 por 100 de la financiacion no reembolsable de Corea y Japon, respectivamente. Desde el punto de vista sectorial, en el quinquenio 2007-2011, se observa que Canada, Japon y ESPANA: PRIMER CONTRIBUYENTE DEL BANCO INTERAMERICANO DE DESARROLLO EN FINANCIACION NO REEMBOLSABLE Ana Maria Martinez Jerez*

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.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.792
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0020.010
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.014

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 head0.013
GPT teacher head0.260
Teacher spread0.247 · 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