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Paz-Mackay, María Soledad : historia, memoria y novela en la Argentina de la posdictadura, la cuestión de la responsabilidad extendida, Buenos Aires : editorial Biblos, 2017.

2020· article· es· W3035691912 on OpenAlexaff
Diana Pifano

Bibliographic record

VenueVisitas al Patio · 2020
Typearticle
Languagees
FieldPsychology
TopicMemory, violence, and history
Canadian institutionsDalhousie University
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

En este volumen, María Soledad Paz-Mackay reflexiona sobre las representaciones literarias de la responsabilidad civil respecto a la violencia y los crímenes de lesa humanidad perpetrados durante la última dictadura militar argentina. Su corpus está compuesto por cuatro novelas: Villa (1995) y Ni muerto has perdido tu nombre (2002) de Luis Guzmán, Dos veces junio (2002) de Martín Kohan y El secreto y las voces (2002) de Carlos Gamerro. El análisis parte de una importante discusión sobre la relación entre dos nociones esenciales a cualquier discusión sobre el pasado reciente de Argentina: memoria colectiva e historia. Así, el andamiaje teórico está compuesto de las propuestas más destacadas en el campo de los estudios sobre la memoria (Nora, Ricoeur, Todorov, Jelin, Sarlo y Hawlbachs, entre otros) y las teorías sociocríticas de Marc Angenot sobre el discurso social como representación de un contexto determinado. Es a partir de las propuestas de Angenot que la autora explica “los cambios producidos entre las reglas discursivas que devienen en la relación de complemento entre historia y memoria; y por el otro lado, [fundamenta] la conexión entre historia y memoria con la ficción” (47).

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 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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.010
GPT teacher head0.314
Teacher spread0.304 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2020
Admission routes1
Has abstractyes

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