MétaCan
Menu
Back to cohort
Record W2283902635

Divided into Stands, Together they Fall: A critical analysis of salvage logging in the Rogue-Siskiyou National Forest

2013· dissertation· en· W2283902635 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueVTechWorks (Virginia Tech) · 2013
Typedissertation
Languageen
FieldEnvironmental Science
TopicForest Management and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsLoggingForestryNational forestGeography
DOInot available

Abstract

fetched live from OpenAlex

This research takes elements of the scholarship on environmentalism -- political theory and ethical philosophy -- and evaluates them together in the context of the conflict over salvage logging in the Rogue-Siskiyou National Forest in Oregon. I tell the story of the conflict through a history of land and fire management in the U.S. Through a closely detailed account of the anti-salvage logging activism, I explore the gap between ethics and political responsibility and how they unfold in this battle against deforestation. This research offers an in-depth look into how the environmental movement struggled internally to identify goals, and to challenge powerful economic and political systems that prevent significant change from taking root. I argue that the environmental movement needs a theory of environmental responsibility as a framework by which to better understand the strategies and complexities of environmental conflicts. The task of environmental responsibility is to confront the challenge of how to make the environmental movement responsive to the political and economic conditions that produce conflicts, and how environmentalism can overcome the limits of liberal individualism. As forests continue to dwindle, and as activists across the nation mobilize to stop the Keystone XL pipeline that will carry Canadian tar sands to the Gulf of Mexico, the future of environmentalism has never been more critical.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.284
Teacher spread0.273 · 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