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Record W2942396545 · doi:10.1017/s0260210519000135

I am uncertain, but We are not: a new subjectivity of the Anthropocene

2019· article· en· W2942396545 on OpenAlexaff
Scott Hamilton

Bibliographic record

VenueReview of International Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsWilfrid Laurier UniversityBalsillie School of International Affairs
Fundersnot available
KeywordsAnthropoceneSubjectivityHumanitySubject (documents)Environmental ethicsEpistemologyCertaintyExistentialismSociologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract The concept of ‘the Anthropocene’ as a new human-induced geological epoch has made its way into IR. Debates have recently arisen between ‘post-humanists’ stressing its destruction of subject-object binaries and ‘New Anthropocentrists’ arguing that it increases the importance of the human being as planetary steward. This article moves beyond these debates to question a strange but unexplored foundation that underlies the basic discourse of the Anthropocene: the assertion that humanity must be grouped together as a collective species, ‘anthropos’, or planetary ‘We’. Using the philosophy of Martin Heidegger, it argues that the Anthropocene reveals a new and deeper shift in human subjectivity, moving from an individualistic Cartesian ‘I’ to a collective and planetary ‘We’. This argument is made in three steps. First, today's common treatment of humanity as a collective whole in Anthropocene literature is examined. Second, it details how transformations in subjectivity occur by shifting the historical boundaries of our most fundamental notion of certainty – the ‘subiectum’ – and how the technologies of Earth System Science (ESS) subtly facilitate this shift today. Finally, the article argues how this subjective transformation from the ‘I’ to the ‘We’ results from the temporal, spatial, and existential incalculability and uncertainty of the Anthropocene, thereby fostering the rise of certainty in new forms of conflictual identity politics.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.325
Threshold uncertainty score0.718

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.067
GPT teacher head0.408
Teacher spread0.341 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations39
Published2019
Admission routes1
Has abstractyes

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