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Record W2134102512 · doi:10.7202/040793ar

A Comparison of Ideas in the Development and Governance of National Parks and Protected Areas in the US and Canada

2008· article· en· W2134102512 on OpenAlexvenueaboutno aff
Rosalind Warner

Bibliographic record

VenueInternational Journal of Canadian Studies · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate governanceWildernessPolitical scienceWilderness areaPublic administrationGeographyEconomicsManagementEcology

Abstract

fetched live from OpenAlex

This paper uses a comparison of ideas in US and Canadian national parks history and governance to explain the rationale for the development of national parks and protected areas. Comparisons of the Canadian and US national parks history have either noted few significant differences, or have argued that there has been far less emphasis on preservation in Canadian parks governance. This paper uses two main axes to compare ideas about parks governance in the US and Canada: the first involves the discursive and cultural justification for restricting development; and the second is the degree of governmental leadership and conscious planning, or statism, that goes into parks governance. A survey of the respective histories of parks governance leads to the conclusion that differences between the US and Canada in parks governance exist. Nevertheless, these are largely a result of the historical interaction and relationship between the two countries, rather than inherent cultural differences or similarities in notions of "wilderness." Conclusions centre on the effects of the tendency for Canadian patterns of economic development to produce greater path dependency and hence to restrict resistance to economic development within parks.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score0.491

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.239
Teacher spread0.218 · 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.

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

Citations2
Published2008
Admission routes2
Has abstractyes

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