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Record W2900112205 · doi:10.1177/0263775818806514

Anthropocene futures: Linking colonialism and environmentalism in an age of crisis

2018· article· en· W2900112205 on OpenAlexaffabout
Bruce R. Erickson

Bibliographic record

VenueEnvironment and Planning D Society and Space · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsAnthropoceneEnvironmentalismColonialismEnvironmental ethicsMainstreamPoliticsPrivilege (computing)Ecological crisisFutures contractSociologyPolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

The universal discourse of the Anthropocene presents a global choice that establishes environmental collapse as the problem of the future. Yet in its desire for a green future, the threat of collapse forecloses the future as a site for creatively reimagining the social relations that led to the Anthropocene. Instead of examining structures like colonialism, environmental discourses tend to focus instead on the technological innovation of a green society that “will have been.” Through this vision, the Anthropocene functions as a geophysical justification of structures of colonialism in the services of a greener future. The case of the Canadian Boreal Forest Agreement illustrates how this crisis of the future is sutured into mainstream environmentalism. Thus, both in the practices of “the environment in crisis” that are enabled by the Anthropocene and in the discourse of geological influence of the “human race,” colonial structures privilege whiteness in our environmental future. In this case, as in others, ecological protection has come to shape the political life of colonialism. Understanding this relationship between environmentalism and the settler state in the Anthropocene reminds us that the universal discourse of the Anthropocene is intertwined with the attempt to sustain whiteness into the future.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.073
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0150.054
Scholarly communication0.0090.013
Open science0.0010.009
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.300
Teacher spread0.279 · 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 designTheoretical or conceptual
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

Citations98
Published2018
Admission routes2
Has abstractyes

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