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Record W7030341182

Nature unbound: what gray wolves, monarch butterflies, and giant sequoias tell us about large landscape conservation

2021· dissertation· en· W7030341182 on OpenAlexaboutno aff

Bibliographic record

VenueMontana State University ScholarWorks (Montana State University) · 2021
Typedissertation
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsThreatened speciesIndigenousGray (unit)WildlifeTreatyMaroonConservation biology
DOInot available

Abstract

fetched live from OpenAlex

This dissertation examines how and why people of different nationalities across North America cooperate, or not, in conserving transborder ecologies. This project is important because many species of wildlife have been moving across administrative and national borders to cope with a warming world. Out of four thousand species recently tracked, scientists documented that almost three-quarters of them had shifted their ranges, mostly to cooler lands and waters. Terrestrial species, on average, were moving 12 miles (20 kilometers) toward the poles every decade. As the world heats up, threatened biota need more freedom of movement, greater flexibility with borders, to adapt and adjust. My research objective became to recover a useable past about three focal species--gray wolves, monarch butterflies, and giant sequoias--reflecting how these lifeforms were pivotal to the making, unmaking, and remaking of borders for a layering process, a thick cartography, in written word. Conserving large landscapes for each species takes us outside the international lines of modern maps, from the U.S.-Canada border, to the U.S.- Mexico border, to the treaty borders of Indigenous nations subsumed within the United States. My argument is that state-centered conservation followed the possessive logic of nation-building, creating borders and bounding space to protect habitats. New scientific practices such as radio-collaring wolves, tagging monarchs, and tree-ring dating sequoias rendered visible non-human geographies that did not fit the shape or size of traditional protected areas. Civil society in Canada, Mexico, and United States then rallied behind alternative ways of organizing space, building transnational connections for biological well-being. In short, I investigate how non-state actors on the community level reconciled legal, administrative, and national borders with biocentric borders over the long twentieth century (1850s to present). Civic groups like the binational Yellowstone-to-Yukon Initiative, trinational Insect Migration Association, and multinational Indigenous Fire Collective arrived at a political imaginary in-the-making that I call 'ecological internationalism.' Once recognized, its strategy becomes obvious: forge solidarity across borders or face extinction of shared species. Ecological internationalism offers us both a version of the past and a vision of the future.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.617
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.170
Teacher spread0.166 · 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.

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
Published2021
Admission routes1
Has abstractyes

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