What do you mean by “epochal” change? Theorizing planetary transformations in the Social Sciences and Humanities
Bibliographic record
Abstract
Although the social sciences and humanities have engaged extensively with the topic of the Anthropocene, much of this research has been conducted at a distance from “classical” geo-disciplines, which can provide valuable insights into the earth’s capacity for self-differentiation. More specifically, geological research into the Earth’s deep past points to magnitudes of planetary transformation (like epochal change) that are much more dramatic than is often assumed by critical social and environmental scholarship. This is particularly evident in the eight theses concerning the origins and trajectory of the Anthropocene that dominate discussions about the topic today. By comparing these theses to classical geology’s research on intervals of geologic time, epochal transformations, and the Earth’s capacity for self-differentiation, I argue that the critical scholarship on the Anthropocene must engage more closely with these geo-disciplines to develop more robust strategies for meeting the challenges of the current geo-historical conjuncture.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.011 |
| Science and technology studies | 0.003 | 0.019 |
| Scholarly communication | 0.007 | 0.015 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".