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Record W2979780801 · doi:10.29375/01240781.3469

Noción de víctima y conflicto armado en Colombia: hermenéutica, ciudadanía y equidad de género

2019· article· es· W2979780801 on OpenAlexaff
Ledis Bohórquez Farfán, Priscyll Anctil Avoine, Yuber Hernando Rojas

Bibliographic record

VenueReflexión Política · 2019
Typearticle
Languagees
FieldSocial Sciences
TopicConflict, Peace, and Violence in Colombia
Canadian institutionsUniversité du Québec
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

El presente artículo tiene como objetivo mostrar, desde una perspectiva crítica, los límites del concepto de víctima implícitos en la Ley 1448 de 2011, conocida como Ley de Víctimas y Restitución de Tierras. Para lograrlo, se tienen en cuenta los siguientes pasos: en primer lugar, el análisis sobre el concepto de víctima a partir de la filosofía política y su relación con la violencia en perspectiva hermenéutica; en segundo lugar, la profundización en la noción de víctima desde el ejercicio real de ciudadanía; y, en tercer lugar, la interpretación de las limitaciones de la noción de víctima desde la equidad de género. El resultado: existe un concepto de víctima excluyente e inoperativo el cual promueve la segregación y limita, tanto el ejercicio real de ciudadanía como la equidad de género en Colombia. En síntesis: una noción de víctima que profundiza las relaciones de poder y perpetúa las violencias resultantes del conflicto armado colombiano.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.220
Threshold uncertainty score0.438

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0100.014
Scholarly communication0.0110.004
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.013
GPT teacher head0.368
Teacher spread0.355 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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