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Record W2466449429 · doi:10.1177/0263276415598629

Anthropocene Formations: Environmental Security, Geopolitics and Disaster

2015· article· en· W2466449429 on OpenAlexaff
Simon Dalby

Bibliographic record

VenueTheory Culture & Society · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Geoengineering
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsAnthropoceneGeopoliticsEnvironmental ethicsHumanityContext (archaeology)PoliticsHuman securityUrbanizationSociologyPolitical scienceHistorySocial scienceEcologyLawArchaeology

Abstract

fetched live from OpenAlex

The discussion of the Anthropocene makes it clear that contemporary social thought can no longer take nature, or an external ‘environment’, for granted in political discussion. Humanity is remaking its own context very rapidly, not only in the processes of urbanization but also in the larger context of global biophysical transformations that provide various forms of insecurity. Disasters such as the Fukushima nuclear meltdowns and potentially disastrous plans to geoengineer the climate in coming decades highlight that the human environment is being remade in the Anthropocene. Humanity is now a geological actor, not just a biological one, and that insight, captured in the term Anthropocene, changes understandings of both security and environment in social thought, requiring a focus on production of environments rather than their protection. Disasters help clarify this key point and its significance for considering geosocial formations.

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)0.002
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0050.026
Scholarly communication0.0050.007
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.013
GPT teacher head0.227
Teacher spread0.214 · 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
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

Citations125
Published2015
Admission routes1
Has abstractyes

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