Bibliographic record
Abstract
Kantian constructivists locate the source of normativity in the rational nature of valuing agents. Some further argue that accepting this premise thereby commits one to accepting the intrinsic or unconditioned value of rational nature itself. Whereas much of the critical literature on this “regress on conditions” argument has focused either on the cogency of the inference from the value‐conferring capacity of the will to the unconditional value of that capacity itself or on the plausibility of the initial constructivist premise, my aim is to press the argument from a different direction by asking just how Kantian the constructivist needs to be in order to support a regress on conditions argument. Specifically, I maintain that the argument succeeds only given a full‐fledged Kantian moral psychology, including a presupposition of transcendental freedom. If correct, this could have implications regarding the compatibility of Kantian ethics and philosophic naturalism.
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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 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.039 |
| Scholarly communication | 0.010 | 0.022 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.009 | 0.012 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".