The Sedanthropocene: Nomadism, Ecology, Hypernormalization: Toward Reimagining the Holocene
Bibliographic record
Abstract
The various (s)cenes of Anthropocene discourse are attempts to conceptualize the problem of anthropogenic global warming and to better understand the problem with a view to possible solutions. This paper explores, in a series of theoretic vignettes, ways that these attempts are too myopic and narrow, and tend to ignore the possibility that the most fundamental levels of social organization might be the very conditions under which other ‘cenes’ can function at all. Specifically, Jason Moore’s Capitalocene describes and explains many symptoms of a world enraptured by capital. However, the beginning of the Holocene marks an historical stage wherein humans changed their thoughts and behaviours in such a way as to make something like capitalism possible at all. The dualism that Moore cites as fundamental to the Capitalocene did not begin with Descartes, it began with anatomically modern humans circa 10,000 years ago.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.036 |
| Scholarly communication | 0.004 | 0.008 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".