Lawmaking in the accusative:Decentering collective self-legislation for the Anthropocene
Bibliographic record
Abstract
The vocation to realize autonomy defines what might be called modernity’s insurrection against contingent and heteronomous existence, both societal and natural. Modern constitutionalism takes up this vocation and the family of concepts associated to it, compressing them into a single expression: collective self-legislation. Yet the Anthro-has turned the tables: nature is in a state of insurrection against the drive to se-cure human autonomy, reminding us, modern denizens, of our irreducibly contingent and heteronomous condition as natural beings. This paper argues that affirming a constitutive condition of interdependency between humans and other-than-humans requires decentering collective self-legislation in two distinct but related ways. The first undercuts anthropocentrism, thus centrism as such; the second challenges anthropocentrism, hence human exceptionalism.
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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 | 0.013 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.050 |
| Scholarly communication | 0.012 | 0.016 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 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".