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Record W2140354858 · doi:10.1177/0304375414558355

Environmental Geopolitics in the Twenty-first Century

2014· article· en· W2140354858 on OpenAlexaff
Simon Dalby

Bibliographic record

VenueAlternatives Global Local Political · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Geoengineering
Canadian institutionsBalsillie School of International Affairs
Fundersnot available
KeywordsAnthropoceneGeopoliticsPoliticsHumanityEnvironmental ethicsDichotomyContext (archaeology)Natural (archaeology)SociologyPolitical sciencePolitical economyHistoryLawEpistemologyArchaeology

Abstract

fetched live from OpenAlex

Rising concerns about climate change and the growing realization that humanity has become a geological agent shaping planetary systems have led to the adoption of the term Anthropocene as an overarching term for the current period of planetary history. The growing disjunction between traditional geopolitical specifications of territorial and spatial categories of politics and the new geological circumstances require a reconsideration of the material context for politics. Having taken our fate into our own hands, governance mechanisms have to grapple with novel matters of production and energy challenging modern assumptions about an autonomous humanity playing out its political drama against a stable natural background. While governing climate is generating new spatial categories of politics, it is far from clear that these devices can reassemble the human and natural systems into a sustainable configuration for the next period of the Anthropocene. One of the key dichotomies that structures modern thinking, the division between human and nature, is no longer tenable. We are literally making our own future, and the consequences of these reconsiderations are profound for politics in general and security in particular.

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)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0050.023
Scholarly communication0.0080.004
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.238
Teacher spread0.229 · 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

Citations74
Published2014
Admission routes1
Has abstractyes

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