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Record W251877608

Protected areas and regional sustainability: surveying decision makers in the Lake Superior Basin.

2000· article· en· W251877608 on OpenAlexaboutno aff
James G. Cantrill, Thomas Potter, William Stephenson

Bibliographic record

VenueUNM’s Digital Repository (University of New Mexico) · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Conservation and Management
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityStructural basinWater resource managementGeographyEnvironmental planningEnvironmental resource managementEnvironmental scienceGeologyEcologyGeomorphologyBiology
DOInot available

Abstract

fetched live from OpenAlex

A central element in the promotion of ecosystem management in the Lake Superior Basin concerns residents' attitudes toward the role played by parks and preserves in the region.Although the opinions of local decision makers, who represent the larger population, are viewed as pivotal components in any drive toward regional sustainability, very little data has hitherto been collected regarding their impressions of nearby and Basin-wide networks of protected areas.This study reports results from the first comprehensive survey of decision makers in the Basin.Analysis reveals that the U.S. and Canadian populations share an appreciation for protected areas in the watershed, even though their opinions regarding local parks and preserves reflect a stronger bias toward economic development, less governmental control, and concerns over the expansion of protected areas.Results are discussed in terms of their implications for natural resource policy promulgation.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.103
Threshold uncertainty score0.205

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.188
Teacher spread0.177 · 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 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

Citations7
Published2000
Admission routes1
Has abstractyes

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