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Record W221339375

What's Left? Canadian Biosphere Reserves as Sustainability-in-Practice

2013· article· en· W221339375 on OpenAlexaboutno aff
Maureen G. Reed, Merle Massie

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Philosophy and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityWildernessBiosphereEnvironmental ethicsSocial sustainabilityPolitical scienceNature reserveRhetoricSustainability scienceEnvironmental resource managementSociologyGeographyEcologyEconomics
DOInot available

Abstract

fetched live from OpenAlex

In this essay, the authors consider whether sustainability-in-practice might be one way to replace the culture of nature in the common terrain of interdisciplinary Canadian and environmental studies. The authors first describe debates focussed on wilderness preservation, drawing attention to key conceptual, practical, and ethical challenges that preservation rhetoric can pose. In particular, wilderness preservation campaigns lack consideration of social and economic dimensions now deemed critical to long-term sustainability. The authors consider whether sustainability as practised by United Nations Educational, Scientific and Cultural Organization (UNESCO) biosphere reserves in Canada might offer a means to address those challenges. Using evidence from UNESCO documents, interviews with Canadian biosphere reserve founders, and a survey of present-day practitioners, the authors provide a short history of biosphere reserves, drawing attention to changes over time in their concept, practices, and ethics. The authors then discuss the priorities and effectiveness of present biosphere reserve managers and consider how they match up with the three imperatives of sustainability (economic, environmental, social). Their findings suggest that biosphere reserves face challenges similar to those of nature protection movements, particularly over the social dimension of sustainability. The authors conclude that there is much to be learned: studying sustainability-in-practice offers fertile ground for environmental and Canadian studies scholars to meet beyond the culture of nature.

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), 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: Empirical · Consensus signal: none
Teacher disagreement score0.958
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
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.005
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.012
GPT teacher head0.227
Teacher spread0.215 · 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
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
Published2013
Admission routes1
Has abstractyes

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