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Contention, participation, and mobilization in environmental assessment follow-up: the Itabira experience

2012· article· en· W406056631 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

VenueSustainability Science Practice and Policy · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Social Impact Assessments
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMobilizationPolitical scienceEnvironmental planningPsychologyEnvironmental scienceLaw

Abstract

fetched live from OpenAlex

This article analyzes the public participation and follow-up stages of the environmental assessment process to secure an operating license for an iron-ore mine in Itabira, Minas Gerais, Brazil. Vale, a major Brazilian mining company, eventually received authorization to begin operations in 2000, but only after making significant concessions to public demands on a variety of environmental and social conditions. In the years following the approval, Vale met several conditions regarding environmental cleanup, parks and infrastructure, water protection, and commitment to the local community. However, over time some of these activities were interrupted or aborted, while a number of conditions were never met. This article suggests that these weaknesses in follow-up were a consequence of the demobilization and retreat of the state and a parallel demobilization of civil society after 2000. The case demonstrates that state and public attentiveness can be episodic and suggests that high-profile agreements do not assure sustainable outcomes. Institutionalized participatory monitoring and management units appear necessary for continued environmental management that pursues long-term sustainability.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.827

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.004
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.375
Teacher spread0.359 · 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