Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract: In recent work Stephen Darwall has attacked what he calls J. G. Fichte's ‘voluntarist’ thesis, the idea—on Darwall's reading—that I am bound by obligations of respect to another person by virtue of my choice to interact with him. Darwall argues that voluntary choice is incompatible with the normative force behind the concept of a person, which demands my respect non‐voluntarily. He in turn defends a ‘presuppositional’ thesis which claims that I am bound by obligations of respect simply by recognizing the other as a person. In this paper I argue Darwall has misidentified the voluntary element in Fichte's account (sections 4–5). This requires me first to explain what Fichte's voluntarism really consists in (sections 1–3), and I suggest an apparent ambiguity in Fichte's position is responsible for Darwall's misreading. Clarifying this ambiguity, however, exposes some limitations to Darwall's thesis, and I end by discussing what those limitations are and what we can learn from them (sections 6–8).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it