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Record W7017276799

Amigos del imperio japonés: la mediación diplomática española entre Estados Unidos y Japón durante la II Guerra Mundial

2017· dissertation· es· W7017276799 on OpenAlexfundno aff

Bibliographic record

VenueLibrary Open Repository (Universidad Complutense Madrid) · 2017
Typedissertation
Languagees
FieldArts and Humanities
TopicSpanish History and Politics
Canadian institutionsnot available
FundersUniversity of TorontoUniversity of WashingtonPrinceton UniversityUniversity of ChicagoU.S. Department of Justice
KeywordsChristian ministrySpanish Civil WarCold war
DOInot available

Abstract

fetched live from OpenAlex

La presente investigación plantea la posibilidad de lograr un mejor conocimiento de la Historia de las Relaciones Internacionales entre España y Japón. Para lograr esto, ha sido analizado un aspecto de la Historia de Japón en el que la participación española fue crucial: la actuación de España como potencia protectora a cargo de los intereses japoneses para la mayor parte del continente americano durante la Guerra del Pacífico (1941-1945), y en particular su papel en el caso de los Estados Unidos de América. En este país, la diplomacia española tuvo que afrontar el internamiento de los residentes japoneses y de los ciudadanos estadounidenses de origen japoneses en los así llamados Campos de Realojamiento de Guerra (en esencia, un tipo de campos de concentración). En ese contexto, España asumió la tarea de velar por el bienestar de estos internados e informar sobre ellos a las autoridades niponas. De este modo, a través del estudio de los esfuerzos españoles y sus resultados en relación con este “problema japonés” ha sido posible aumentar el alcance y profundidad de nuestro conocimiento sobre la cuestión japonesa en los EEUU. Asimismo, tener otra perspectiva sobre el asunto ha permitido examinar este problema desde un punto de vista ético, más allá del análisis Histórico.

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)0.003
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 score0.065
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.003
Scholarly communication0.0050.003
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.014
GPT teacher head0.238
Teacher spread0.224 · 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
Published2017
Admission routes1
Has abstractyes

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