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
Utilitarianism has frequently been criticized for lacking psychological realism, but what this means and why it is thought to matter varies. This article distinguishes and examines three main relevant kinds of appeals to psychological realism: (a) A minimalist, self-avowedly metaethically neutral and empirically based ‘ought implies can’ approach, exemplified by Owen Flanagan. (b) Arguments from psychological costs and flourishing, exemplified by Michael Stocker and Bernard Williams. (c) ‘Thick’ psychological realism, exemplified by Elizabeth Anscombe, where a conception of human nature does not simply provide constraints on value theory, but forms the substantive basis on which it builds. The main challenge raised for utilitarianism turns out to be metaethical, not a matter of empirical psychology. The question is not so much whether utilitarianism can accommodate (putative) descriptive facts of human psychology as such, but what normative weight these facts should be given and why.
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 | 0.000 | 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 | 0.000 |
| 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