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Record W2979517800 · doi:10.1177/2514848619879447

Multiple environmentalities and post-politicization in a Canadian Mountain Park

2019· article· en· W2979517800 on OpenAlexafffundabout
Megan Youdelis

Bibliographic record

VenueEnvironment and Planning E Nature and Space · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Management and Policy
Canadian institutionsUniversity of Guelph
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNeoliberalism (international relations)PoliticsAgency (philosophy)Political scienceEnvironmental governancePublic administrationPolitical economyCorporate governanceAusteritySociologyLawEconomicsSocial science

Abstract

fetched live from OpenAlex

This research explores the centrality of multiple environmentalities at multiple scales in the post-politicization of conservation governance in Jasper National Park, Canada. Austerity politics in Canada contributed to the post-politicization of conservation as the interests of Parks Canada and private developers were brought into alignment in terms of increasing visitation and the revenue imperative. The Parks Canada Agency, under structural pressure, employed several post-political strategies to suture the space for dissensus and debate and orchestrate the appearance of consent for the private development and management of park services. Central to these strategies were multiple (sovereign, disciplinary, and neoliberal) environmentalities constructed at multiple scales by multiple actors (the federal government, the local parks department, and private sector interests) aimed at producing environmental subjects who understand and acquiesce to the idea that ‘there is no alternative’ to a privatized conservation practice. In response, opponents attempted to mobilize an alternative environmentality, combining a social democratic critique of neoliberalism with a Romantic vision of wilderness conservation. Although opponents enrolled a sizeable number of allies, they fell short of stabilizing a liberation environmentality as several underlying points of ‘agreement’ contributed to the stabilization of post-political discourse and practice, foreclosing alternative political economies of conservation.

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 score0.122
Threshold uncertainty score0.963

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.003
GPT teacher head0.193
Teacher spread0.189 · 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

Citations15
Published2019
Admission routes3
Has abstractyes

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