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Record W4362695990 · doi:10.4324/9781003416807-6

Recreational activism: politics, nature, and the rise of neoliberalism

2023· book-chapter· en· W4362695990 on OpenAlexaboutno aff
Bruce W. Erickson

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsNeoliberalism (international relations)RecreationPoliticsPolitical sciencePolitical economySociologyLaw

Abstract

fetched live from OpenAlex

This paper develops an analysis of recreational activism in light of the relationship between outdoor recreation and environmental politics. As part of the rise of green liberalism, it is argued that recreational activism – recreational activities that are backed by a public political campaign – works (often accidentally) to legitimise neoliberalisation in the realm of environmental politics. Drawing from two expressions of recreational activism, a wilderness campaign in Canada and the work of Patagonia on environmental issues, this paper illustrates how these initiatives not only pair together a concern for how one acts within wilderness with the political choices outside of wilderness areas, but also reify the market value of environmental protection. The individualised nature of these political expressions, paradoxically, stems from both the counter-culture initiatives of the 1960s and the neoliberal reforms of the past 30 years. As moments of recreational consumption these campaigns promote a conservative economic agenda whose consequences will likely override the progressive political sentiments embodied by these activities.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.723
Threshold uncertainty score0.998

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 studies0.0000.009
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.199
Teacher spread0.190 · 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.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations1
Published2023
Admission routes1
Has abstractyes

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