Bibliographic record
Abstract
In Inequality, Larry Temkin attacks ‘The Slogan’: ‘One Situation cannot be [morally] worse (or better) than another in any respect if there is no one for whom it is worse (or better) in any respect.’ Temkin notes that the Slogan has great intuitive appeal. It underlies, for example, the conviction that it is irrational to prefer a Pareto-inferior outcome; the transition from egalitarianism to the difference principle; Robert Nozick's Wilt Chamberlain example; defense of appropriation under the Lockean proviso; and Derek Parfit's Mere Addition Paradox. As an egalitarian, Temkin's main concern with the Slogan is the support it gives to the ‘leveling down objection’ to egalitarianism: the egalitarian finds it to be in some respect an improvement that the better-off are leveled down to the position of the worse-off, without any gain to the worse-off. The Slogan condemns this: leveling down cannot be better in any respect, since there is no one for whom it is better in any respect.
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.
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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.022 | 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".