Nature and Agency: Towards a Post-Kantian Naturalism
Bibliographic record
Abstract
Abstract We outline an alternative to both scientific and liberal naturalism which attempts to reconcile Sellars’ apparently conflicting commitments to the scientific accountability of human nature and the autonomy of the space of reasons. Scientific naturalism holds that agency and associated concepts are a mechanical product of the realm of laws, while liberal naturalism contends that the autonomy of the space of reason requires that we leave nature behind. The third way we present follows in the footsteps of German Idealism, which attempted to overcome the Kantian chasm between nature and agency, and is thus dubbed ‘post-Kantian.’ We point to an overlooked group of scholars in the naturalism debate who, along with recent work in biology and cognitive science, offer a path to overcome the reductive tendencies of empiricism while avoiding the dichotomy of logical spaces. We then bring together these different streams of research, by foregrounding and expanding on what they share: the idea of organisms as living agents and that of a continuity without identity between life and mind. We qualify this as a bottom-up transformative approach to rational agency, which grounds cognition in the intrinsically purposive nature of organisms, while emphasizing the distinction between biological agency and full-fledged mindedness.
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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 | 0.008 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.045 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| 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".