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Record W2514343116 · doi:10.18192/rceh.v40i1.1607

La apropiación de niños en España y Argentina. Dos políticas de la memoria

2015· article· es· W2514343116 on OpenAlexaffvenue
Luz Celestina Souto

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2015
Typearticle
Languagees
FieldArts and Humanities
TopicSpanish Culture and Identity
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

A principios de 2002 se emitió en TV3 el documental Els nens perduts del franquisme, basado en las investigaciones del historiador Ricard Vinyes sobre las presas políticas y sus hijos en las cárceles franquistas. Hasta ese día las pocas noticias que se tenían de las apropiaciones venían del otro lado del Atlántico. Las dictaduras latinoamericanas de los años setenta habían marcado el mundo occidental con el fantasma de los desaparecidos y con el robo de sus hijos para “salvarlos” y reeducarlos. Este artículo tiene como objetivo un acercamiento a las consecuencias de los robos en la construcción de la memoria individual y colectiva de España y de Argentina. Para hacerlo se realiza un breve recorrido por las producciones culturales más importantes de ambos países hasta el año 2014 inclusive. Tanto en el contexto histórico como en las narrativas se indagará no solo en los puntos en común sino también en las divergencias, trayendo a colación los estudios de Pilar Calveiro sobre el totalitarismo y los estudios de Ricard Vinyes, Raquel Macciuci, Esteso Poves, Ludmila Da Silva y Gabriel Gatti sobre los contextos español y argentino.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.228
Threshold uncertainty score0.453

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.019
GPT teacher head0.266
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

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 designQualitative
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

Citations1
Published2015
Admission routes2
Has abstractyes

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