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Record W2613743230

La memoria en los márgenes: la literatura testimonial concentracionaria de Nora Strejilevich escrita desde el exilio

2016· article· es· W2613743230 on OpenAlex

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

VenueGramma · 2016
Typearticle
Languagees
FieldPsychology
TopicMemory, violence, and history
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesTestimonialArtPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

El articulo se propone hacer un aporte al estudio de un tipo de escritura con frecuencia marginada y marginal: la literatura testimonial concentracionaria argentina, es decir, aquellos textos escritos por supervivientes de los campos de concentracion o centros de detencion clandestinos de la ultima dictadura militar argentina (1976-1983), en los que estos sujetos relatan su propia experiencia traumatica. El estudio parte de la idea de que las memorias de la violencia totalitaria en diversos contextos socio-culturales tienen una instancia significativa de construccion en el exilio y, por esta razon, ocupan un espacio marginal. Otra causa de dicha marginalidad se observa en el hecho de que una porcion importante de los discursos producidos por los testigos se definen como «testimonio», un genero que todavia presenta problemas de definicion y especificidad en el ambito de la critica literaria. Se analizaran dos textos de Nora Strejilevich, ex-secuestrada y exiliada en Canada y Estados Unidos: Una sola muerte numerosa (1997) y El arte de no olvidar (2006). Ya sea desde el testimonio, como en el primer caso, o desde la reflexion teorica sobre el mismo, como en el segundo, estos textos contribuiran a la discusion que se abre en torno a la literatura testimonial concentracionaria argentina de los ultimos anos.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.836
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.013
GPT teacher head0.310
Teacher spread0.296 · 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