Bibliographic record
Abstract
It is not clear whether the social contract is supposed to merely supplement the unequal gains that individuals are able to make through the exercise of their natural endowments with a set of equal gains secured through social cooperation, or whether the social contract must also compensate individuals for the effects of these natural inequalities, so that they literally become all equal. The issue concerns, in effect, whether natural inequality falls within the scope of egalitarian justice. I think it is fair to say that the majority of egalitarians assume that the principle of equality imposes an obligation to redress natural inequality. Yet there is no consensus on this issue. David Gauthier has made the rejection of the principle of redress a central component of his project. It has often escaped notice that John Rawls also rejects the principle of redress. Thus it is not just anti-egalitarians who reject the principle of redress. There is a current of egalitarian thought – which we might call, for lack of a better term, narrow-scope egalitarianism – which also rejects this principle. In this paper, I would like to show that there is considerable wisdom in the narrow-scope egalitarian position. Many of the problems that lead theorists to reject egalitarianism in its entirety are a consequence, not of the principle of equality per se, but rather of the commitment to redress natural inequality. The narrow-scope view avoids all of these difficulties.
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 | 0.015 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.051 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.005 | 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; 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".