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Record W1684241010 · doi:10.2218/forum.05.588

This is the End: Earth First! and Apocalyptic Utopianism

2007· article· en· W1684241010 on OpenAlexaff
Michael Mikulak

Bibliographic record

VenueFORUM University of Edinburgh Postgraduate Journal of Culture & the Arts · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEarth Systems and Cosmic Evolution
Canadian institutionsMcMaster University
Fundersnot available
KeywordsDialecticSubjectivityNarrativeResistance (ecology)AestheticsEnvironmental ethicsEpistemologySociologyHistoryPhilosophyLiteratureEcologyArt

Abstract

fetched live from OpenAlex

This essay looks at the role of violence within radical environmentalist groups, such as ELF or Earth FIRST!, that engage in or support the use of ecotage or monkeywrenching. By looking at the philosophical underpinnings of monkeywrenching in terms of apocalyptic and utopian discourses within the movement, the author argues that violence against property functions to create a form of subjectivity that can account for the dialectic tension and irreconcilability of utopian and apocalyptic discourses within the group. This tension, with its simultaneous elevation and denigration of the Human, is fundamental to the ecological subjectivity of the members and allows them to act despite a truly apocalyptic belief in the reality of biological meltdown.In addition to providing a way to escape paralysis within such an apocalyptic framework, the eco-warrior functions within the group as well as within larger environmental circles to provide a counter-narrative to benign images of industrial progress by providing an archetypal figure of resistance that marries the modern-primitive, nature-culture, and apocalyptic-utopian together. As such, the author argues that the narrative violence of the eco-warrior provides a way to mobilize a very disparate group of people on the margins of both society and more 'legitimate' environmental groups.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.010
GPT teacher head0.187
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 teacher head, not a consensus.

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

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

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