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Record W4387608534 · doi:10.61604/typ.v1i43.309

Recordar lo que no se vivió: jóvenes, comunidad y memorias del conflicto armado salvadoreño

2023· article· es· W4387608534 on OpenAlexaff
Fernando Chacón Serrano, María José Reyes Andreani

Bibliographic record

VenueTeoría y Praxis · 2023
Typearticle
Languagees
FieldPsychology
TopicMemory, violence, and history
Canadian institutionsWestern University
Fundersnot available
KeywordsHumanitiesArtArmed conflictPolitical science

Abstract

fetched live from OpenAlex

Este artículo se interroga sobre cómo los(as) jóvenes de una comunidad desplazada construyen las memorias del conflicto armado de El Salvador (1980-1992), a pesar de no haberlo vivido. Desde una perspectiva cualitativa, mediante relatos de vida y foto-elicitación, se trabajó con diez jóvenes, quienes nacieron después del fin del conflicto armado en Nueva Trinidad, una comunidad al norte de El Salvador, desplazada por operativos militares y reconstruida por exrefugiados y excombatientes de la guerrilla. Se evidencia en los(as) jóvenes la construcción de memorias propias a través de los mecanismos de la imaginación y la empatía, siendo central en ello los relatos fragmentados que familiares y vecinos les han transmitido en una cotidianidad comunitaria que constantemente remite al conflicto armado.

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)0.002
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.079

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 head0.041
GPT teacher head0.326
Teacher spread0.285 · 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
Published2023
Admission routes1
Has abstractyes

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