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Record W6998781519

Appeals to Transboundary Ecology: Cross-Border Advocacy at the Skagit Headwaters Donut Hole

2023· article· en· W6998781519 on OpenAlexaboutno aff

Bibliographic record

VenueWestern CEDAR (Western Washington University) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsnot available
Fundersnot available
KeywordsSituatedOpposition (politics)WatershedCurrent (fluid)Center (category theory)
DOInot available

Abstract

fetched live from OpenAlex

The Pacific Northwest’s regional news media has directed significant attention toward the Skagit River watershed since 2019 because of a controversial, long-simmering mining proposal at the international border dividing British Columbia and Washington State. At the center of this controversy sits the so-called “Donut Hole”—an area of 5,800 unprotected hectares situated between two B.C. provincial parks—Skagit Valley and Manning—located at the headwaters of the Skagit watershed. As a result of concerns about impacts to wildlife and the surrounding North Cascades ecosystem, opposition to the project was substantial, led by environmental advocates representing a wide range of ecological, recreational, and community interests. In turn, they harnessed media coverage, digital communication, and live-time events to facilitate a larger, regional dialogue about the importance of the cross-border Skagit watershed for larger parts of British Columbia and Washington state, as well as for Canada and the U.S. This study is therefore interested in not only the cross-border dimensions of such ecological engagement, but also the communication variables that helped to drive this larger, multi-stakeholder advocacy. It examines the strategic communication emanating from environmental advocates on both sides of the U.S./Canada border; and their public communication that toggled between the international and hyperlocal, as well informational and rhetorical.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.846
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.003

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 head0.175
GPT teacher head0.439
Teacher spread0.264 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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