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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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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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