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Record W3110336115 · doi:10.14483/2422278x.13967

Cartografía social y ambiental como mecanismo de participación campesina

2020· article· es· W3110336115 on OpenAlex

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

VenueCiudad Paz-ando · 2020
Typearticle
Languagees
FieldSocial Sciences
TopicSocial Issues and Sustainability
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Al hablar de participación campesina y los mecanismos que aportan a su consolidación en el ámbito rural, se realiza una reflexión crítica por medio de la experiencia de cartografía social en el municipio que a su vez es Zona de Reserva Campesina en Cabrera, Cundinamarca, en la vereda Pueblo Viejo en 2017. La identificación comunitaria de zonas de interés ambiental y conflictos ambientales principalmente en áreas del Río y Páramo de Sumapaz del municipio aporta a la búsqueda de alternativas locales de resolución, proyección ambiental territorial. El ejercicio contribuye en la consolidación del reconocimiento político de campesinos y campesinas dadas las carencias históricas a nivel jurídico, reflejado en situaciones de violencia sistemática, pobreza, pérdida de identidad cultural y tradicional campesina en Colombia. Los aportes teóricos que sustentaron el planteamiento de los talleres, así como el análisis de resultados, permitieron evidenciar la importancia de la inclusión de la cartografía social dentro de los mecanismos recurrentes de participación campesina para la toma de decisiones que hagan parte del ordenamiento ambiental territorial del país.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.612
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.042
GPT teacher head0.357
Teacher spread0.315 · 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