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Record W4392560606 · doi:10.1177/20530196241237249

<i>Human, all too human</i> ? Anthropocene narratives, posthumanisms, and the problem of “post-anthropocentrism”

2024· article· en· W4392560606 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Anthropocene Review · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsWestern University
Fundersnot available
KeywordsAnthropoceneAnthropocentrismNarrativeEnvironmental ethicsHistorySociologyPhilosophyArtLiterature

Abstract

fetched live from OpenAlex

What role do contemporary narratives and counter-narratives play in policy regarding the Anthropocene crisis? Given the centrality of the anthropos in the Anthropocene, what conditions might make possible a “post-anthropocentric” or “non-anthropocentric” narrative? Tracing the production of both dominant and counter-narratives, the struggle for narrative power centers the role of the anthropos in the Anthropo cene. The standard narrative—“strong anthropocentrism”—maintains humanist assumptions relating to the “control” and “cultivation” of the non-human. In contrast, counter-narratives, from both alter-humanist eco-centric and post-humanist positions, attempt to de-center human-centrism toward more egalitarian responses to the Anthropocene. Despite these attempts at de-centering human spheres of influence, this article argues that these counter-narratives maintain a “weak anthropocentrism,” given their maintenance of human volition and intentionality. The production of “post-anthropocentric” or “non-anthropocentric” narratives of the Anthropocene crisis would require speculative moves beyond the human: toward human abolition and disconnection.

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.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.900
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.007
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.276
Teacher spread0.258 · 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