Bibliographic record
Abstract
G.A. Cohen is famous for his critique of John Rawls’s view that principles of justice are restricted in scope to institutional structures. In recent work, however, Cohen has suggested that Rawlsians get more than just the scope of justice wrong: they get the concept wrong too. He claims that justice is a fundamental value, i.e. a moral input in our deliberations about the content of action-guiding regulatory principles, rather than the output. I argue here that Cohen’s arguments for extending the scope of justice equivocate across his distinction between fundamental principles of justice, i.e. principles that tell us what justice is; and regulatory principles of justice, i.e. principles that tell us what is required of us, all things – including justice – considered. Though Cohen initially had the regulatory sense of the word ‘justice’ in mind when critiquing the basic structure restriction, his replies to the problem of demandingness presuppose his own, fundamental sense of the word ‘justice’. The upshot is that he escapes demandingness at the cost of sacrificing regulatory justice’s capacity to provide clear guidance. I conclude by considering Peter Singer’s efforts to deal with demandingness in his own work on global poverty. Since Singer manages to deal with demandingness without giving up clarity, his work is a good a place to start in the search for regulatory principles that are suitable for the context of personal choice.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".