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El estudio de impacto ambiental como elemento de construcción de realidad. El caso de la central hidroeléctrica Porce III

2019· article· es· W2953894287 on OpenAlexaff
Gustavo Adolfo Muñoz Gaviria

Bibliographic record

VenueTerritorios · 2019
Typearticle
Languagees
FieldEnvironmental Science
TopicWater Resource Management and Quality
Canadian institutionsImpact
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

El presente trabajo aborda el estudio de impacto ambiental de la central hidroeléctrica Porce III, construida en la década del 2000 en Colombia desde una perspectiva sociológica, específicamente en relación al manejo de los efectos sociales. Se entiende esa “gestión de lo social” como un dispositivo de gobierno, un arreglo de líneas de visibilidad, enunciación, poder y subjetivación, por medio del cual se orienta la conducta de las poblaciones reasentadas. Se aborda particularmente el primer conjunto de líneas. Los datos provienen tanto del análisis documental, como de la experiencia de trabajo profesional del investigador en el reasentamiento estudiado. La información sobre normativa existente, justificaciones de la empresa y sus financiadores, estudios ambientales y medidas de manejo fue sometida a un análisis interpretativo a la luz de las categorías provistas por el referente teórico. El trabajo permite identificar la construcción de una realidad determinada, definida y delimitada por los instrumentos, discursos y técnicas del estudio de impacto ambiental. Establecida esa realidad, las empresas la gestionan al tiempo que hacen viable el negocio de generación de energía. Se concluye que otras realidades con mayores niveles de democratización pueden ser construidas para regular las interacciones entre comunidades, empresas y Estado en la definición de las formas de apropiación territorial.

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)0.002
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 score0.313
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.004
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.007
GPT teacher head0.266
Teacher spread0.259 · 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
Published2019
Admission routes1
Has abstractyes

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