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SUJETOS POLÍTICOS EN DEFENSA DEL TERRITORIO Y LA AGRICULTURA SOSTENIBLE EN LA PATAGONIA NORTE

2020· article· es· W3149402546 on OpenAlexaff
Norma Beatriz Andrade

Bibliographic record

VenueRevista Americana de Empreendedorismo e Inovação · 2020
Typearticle
Languagees
FieldSocial Sciences
TopicIndigenous Cultures and History
Canadian institutionsBombardier (Canada)
Fundersnot available
KeywordsPolitical scienceHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

La Región Patagonia Norte comprende a las provincias de Neuquén y Rí­o Negro. Se trata de provincias con una matriz productiva que, aunque se basa en sectores primarios, presentan una cierta diversificación (agropecuaria, agroindustrial, minera, energética, turí­stica) y un relativo dinamismo respecto de otras regiones no centrales de la Argentina. La propuesta se focaliza en los sujetos sociales a nivel regional (Alto Valle de Rí­o Negro y Neuquén) y a nivel local (área agrí­cola de la localidad de Centenario ubicada en la región frutí­cola de exportación en el norte de la Patagonia). El trabajo reúne testimonios que dan cuenta cómo, desde ruralidades en contexto, irrumpen sujetos polí­ticos en defensa del territorio y la soberaní­a alimentaria, poniendo en relieve el rol del productor familiar como principal gestor en la organización social del trabajo familiar en las unidades productivas de la región. En el plano polí­tico, las audiencias públicas y el "frutazo" en la región, son un valioso medio para visibilizar las luchas libradas por movimientos sociales y grupos históricamente subalternizados: los productores familiares, no sin resistencias e iniciativas por el resguardo de tierras y recursos.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score0.510

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.012
GPT teacher head0.274
Teacher spread0.262 · 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
Published2020
Admission routes1
Has abstractyes

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