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Record W2991738697 · doi:10.14483/2422278x.13177

Pedagogías para la paz en Colombia: un primer acercamiento

2018· article· es· W2991738697 on OpenAlexaff
Paola Adarve Zuluaga, Santiago González Álvarez, Maria Angélica Guerrero Quintana

Bibliographic record

VenueCiudad Paz-ando · 2018
Typearticle
Languagees
FieldSocial Sciences
TopicEducation for Peace and Conflict Resolution
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyArt

Abstract

fetched live from OpenAlex

Las pedagogías para la paz (PpP) en Colombia tienen una larga y desconocida trayectoria. Presentamos algunos resultados de una investigación cualitativa y bibliográfica sobre la historia, concepciones y prácticas de las PpP movimientos sociales y experiencias comunitarias que influenciaron su emergencia en Colombia, su escenario legal e institucional y su relación con el reciente Acuerdo de paz entre el Gobierno nacional y las Farc-Ep. Finalmente, surgen tres puntos de tensión: la paz hegemónica, la deconstrucción de la imagen del enemigo y la paz como mera cátedra. Este trabajo visibiliza solo algunas iniciativas educativas y pedagógicas que trabajan por la paz en Colombia, evidenciando la necesidad de más documentación e investigación empírica y teórica en el tema.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.189
Threshold uncertainty score0.375

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0060.005
Scholarly communication0.0070.004
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.035
GPT teacher head0.382
Teacher spread0.347 · 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 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

Citations9
Published2018
Admission routes1
Has abstractyes

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