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
Analytic moral philosophy's strong divide between empirical and normative restricts facts to providing information for the application of norms and does not allow them to confront or challenge norms. So any genuine attempt to incorporate experience and empirical research into bioethics--to give the empirical more than the status of mere 'descriptive ethics'--must make a sharp break with the kind of analytic moral philosophy that has dominated contemporary bioethics. Examples from bioethics and science are used to illustrate the problems with the method of application that philosophically prevails in both domains and with the conception of rationality that underlies this method. Cues from how these problems can be handled in science then introduce summaries of richer, more productive naturalist and constructivist accounts of reason and normative knowledge. Liberated by a naturalist approach to ethics and an enlarged conception of rationality, empirical work can be recognized not just as essential to bioethics but also as contributing to normative knowledge.
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 | 0.021 | 0.139 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.014 | 0.091 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it