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From Competition to Cooperation: A History of Canada-US National Park Relations

2019· article· en· W2985759559 on OpenAlexaffabout
Terence Young, Alan MacEachern, Lary M. Dilsaver

Bibliographic record

VenueEnvironment and History · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsWestern University
Fundersnot available
KeywordsNational parkBureaucracyMythologyNationalismCompetition (biology)Political scienceService (business)Public administrationGeographyEconomyPoliticsHistoryLawEcologyArchaeologyEconomics

Abstract

fetched live from OpenAlex

Abstract This essay explores the evolving international relationship of the two national park agencies that in 1968 began to offer joint training classes for protected-area managers from around the world. Within the British settler societies that dominated nineteenth century park-making, the United States' National Park Service (NPS) and Canada's National Parks Branch were the most closely linked and most frequently cooperative. Contrary to campfire myths and nationalist narratives, however, the relationship was not a one-way flow of information and motivation from the US to Canada. Indeed, the latter boasted a park bureaucracy before the NPS was established. The relationship of the two nations' park leaders in the half century leading up to 1968 demonstrates the complexity of defining the influences on park management and its diffusion from one country to another.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.169
Threshold uncertainty score0.964

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0320.020
Scholarly communication0.0100.003
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.000

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 head0.005
GPT teacher head0.144
Teacher spread0.139 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations6
Published2019
Admission routes2
Has abstractyes

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