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Record W2914851230

Competing Scales of Environmental Governance: The Contested Terrain of Extractive Development in the Methow Valley, Washington

2018· article· en· W2914851230 on OpenAlexaboutno aff
Natalie Knops

Bibliographic record

VenueScholarship - Claremont (Claremont Colleges) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental Justice and Health Disparities
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate governanceTerrainEnvironmental governancePolitical scienceEnvironmental resource managementNatural resource economicsEnvironmental planningGeographyEnvironmental scienceEconomicsManagementCartography
DOInot available

Abstract

fetched live from OpenAlex

Mazama, Washington is a small community, with a population of 230 residents, nestled in the Methow Valley near the North Cascades mountain range. Mazama is home to delicate ecosystems, thriving wildlife, a river integral to salmon recovery, and a local economy that is largely dependent on outdoor recreation. Also home to Mazama is an environmental campaign, brought forth by community-wide resistance to industrial mining proposals in the valley. The campaign, called the Methow Headwaters Campaign, is advocating for the protection of 340,079 acres of federal land from mineral withdraws. The campaign mobilized following an exploratory drilling proposal by a Canadian industrial-scale mining company, Blue River Resources Ltd, to mine on Flagg Mountain—a mountain located less than two miles from the town of Mazama. Because of the Mining Act of 1872, Blue River Resources Ltd. can earn one-hundred-percent interest from the Flagg Mountain project, while the Mazama community—largely based on a local recreational economy—bears the social, environmental, and economic burdens brought with these mining operations. This thesis examines how natural resource governance has been shaped in the Methow Valley at various scales, ultimately resulting in the social contestation of extractive development in Mazama in the early 21st century. This thesis argues that the community-led campaign to withdraw land from mineral withdraws attempts to “re-scale” environmental governance through a democratizing shift in political and ecological control.

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 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)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.341
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.037
GPT teacher head0.318
Teacher spread0.281 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2018
Admission routes1
Has abstractyes

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