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Evangelina Sánchez Serrano (2014). Del asalto al cuartel de madera a la reparación del daño a víctimas de la violencia del pasado. Una experiencia compartida en Chihuahua y Guerrero

2018· article· es· W2782844583 on OpenAlex
Adriana Pozos Barcelata

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

VenueAnales de Antropología · 2018
Typearticle
Languagees
FieldPsychology
TopicMemory, violence, and history
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Del asalto al cuartel de Madera a la reparación del daño a víctimas de la violencia del pasado. Una experiencia compartida en Chihuahua y Guerrero es una compilación que analiza, desde un enfoque de historia regional basado en testimonios, diferentes aristas de las estrategias de represión y de resistencia que tuvieron lugar durante la Guerra Sucia en México y en particular en la década de 1964-1974. Es al mismo tiempo un homenaje a Andrea Radilla –académica y activista por los derechos humanos y contra las desapariciones forzadas– y a Carlos Montemayor –escritor, académico y activista por los derechos humanos, quien a través de sus novelas heredó una lectura crítica de la historia del México del Milagro mexicano que dentro de sus fronteras llevaba una política de la represión. Este homenaje, además del tema mismo de la novela, justifica que de los ocho capítulos que se nos proponen en esta obra, el último esté dedicado a hacer un análisis narratológico de la descripción de los personajes y el espacio en Guerra en el paraíso, una de las obras cumbre de Montemayor.

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)0.003
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: Empirical
Teacher disagreement score0.056
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.003

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 head0.346
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