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Wilderness Parks and Their Discontents

2007· book-chapter· en· W4388336398 on OpenAlexaboutno aff
Benjamin Johnson

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsWildernessGeographyPopulationFrontierHuman settlementArchaeologyEcologySociologyDemography

Abstract

fetched live from OpenAlex

Abstract The turn of the twentieth century witnessed the transformation of wilderness as an idea into wilderness as practice: the creation of parks and other areas permanently set aside from settlement. By this point, a body of influential Americans had become convinced that America’s abuse of nature had spiraled far out of control of such haphazard measures. Where were the enormous herds of buffalo that had once covered the Great Plains? Yellowstone, a few private ranches, and an isolated park in Canada housed the pathetic remnants of a population that had once numbered as much as 40 million. Flocks of passenger pigeons had once numbered in the billions, darkening the sky in flight and blanketing hundreds of miles of forest when at roost. Sports hunters and commercial hunters blazed away, convinced of nature’s inexhaustibility. The last known passenger pigeon, Martha, died a lonely death in a Cincinnati zoo in 1914, more than a decade after the last verifiable sighting in the wild.1 In parts of Wisconsin and Michigan, where majestic stands of red and white pines had once loomed, smoldering stumps stretched as far as the eye could see. Cattle and sheep trampled the meadows of even the most remote mountain valleys. Reflecting on such depressing developments, Theodore Roosevelt articulated a key conservationist sentiment when he concluded in 1897 that “[t]he frontier had come to an end; it had vanished.”2 Wilderness preservation was but one part of the larger response of conservationists to what they understood as nothing less than a crisis of their civilization.

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 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: Other · Consensus signal: Other
Teacher disagreement score0.874
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.024
GPT teacher head0.194
Teacher spread0.170 · 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
GenreOther

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

Citations4
Published2007
Admission routes1
Has abstractyes

Explore more

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