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Record W4307001208 · doi:10.3167/reco.2022.120307

Pluralismo territorial, gobernanza neoliberal y resistencia

2022· article· es· W4307001208 on OpenAlexaff
Juan Carlos Cayo, Ingol Gentes, Pablo Policzer, Ana Watson

Bibliographic record

VenueRegions & Cohesion · 2022
Typearticle
Languagees
FieldSocial Sciences
TopicExtractivism and Socioeconomic Issues
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPolitical scienceHumanitiesGeographyPhilosophy

Abstract

fetched live from OpenAlex

Durante las últimas cuatro décadas, buena parte del desarrollo económico en América Latina ha girado en torno a la industria extractiva bajo un marco regulatorio neoliberal. Este modelo ha provocado protestas e incluso, en algunos casos, procesos constituyentes emergentes. En este contexto, reflexionamos por qué el marco neoliberal para el ordenamiento territorial sigue ocasionando resistencia a pesar de sus cambios y promesas. El neoliberalismo originalmente surgió a mediados del siglo anterior como una manera menos conflictiva, más tecnocrática, de tomar decisiones fundamentales en la economía y la política ambiental. En este artículo nos enfocamos en dos casos emblemáticos de oposición en Perú y Chile donde las poblaciones locales lograron imponer su mirada ante la del Estado.

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)0.003
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.023
Scholarly communication0.0060.003
Open science0.0010.006
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 head0.024
GPT teacher head0.303
Teacher spread0.279 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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