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Desfigurando la memoria: (des)atando los nudos de la memoria peruana

2015· article· es· W1558607569 on OpenAlex
Cynthia E. Milton

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnthropologica · 2015
Typearticle
Languagees
FieldPsychology
TopicMemory, violence, and history
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Este artículo analiza las corrientes opositoras a la memoria colectiva de la sangrienta guerra interna del Perú (1980-2000) a través de un análisis de los actos de vandalismo perpetrados contra uno de los pocos sitios dedicados a la memoria en este país, El ojo que llora, ubicado en Lima. ‘Vandalismo’, en este artículo, es entendido como una forma de escritura (aunque violenta) de una visión distinta del pasado. Originalmente concebido como un espacio para recordar y rendir homenaje a las víctimas del conflicto armado, el sitio se ha convertido en un lugar para la confrontación de formas distintas de asumir el pasado. Como sitio de recuerdo y reivindicación de derechos humanos, y sobre todo como blanco de intentos de desfiguración permanente, El ojo que llora se ha convertido en un escenario en el que la presencia perdurable del pasado —con sus conflictivas tensiones— se hace visible para el público nacional e internacional. Así, se niega el cierre mismo que las narrativas del gobierno quisieran imponer y, por lo tanto, se mantiene el compromiso público con el pasado. Los conflictos en curso sobre el pasado se hacen visibles en este punto en las luchas por establecer una memoria general y, en este proceso, el significado mismo de ‘víctima’ se ve implicado.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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: none
Teacher disagreement score0.787
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.008
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.002

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 head0.045
GPT teacher head0.377
Teacher spread0.332 · 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