Bibliographic record
Abstract
In this article I argue that theorizing about justice at the level of ideal theory is inherently flawed and thus has impoverished liberal egalitarianism. Ideal theorists (falsely) assume that a political philosopher can easily determine (or has privileged access to) what constitutes the ‘best foreseeable conditions’. Furthermore, by assuming full compliance, ideal theorists violate the constraints of a realistic utopia. More specifically I argue that liberal egalitarians who function at the level of ideal theory adopt a cost-blind approach to rights and a narrow view of possible human misfortune. The former issue leads liberal egalitarians to give priority to a serially ordered principle of equal basic liberties or to treat rights as ‘trumps’; and the latter to a stringent prioritarian principle (Rawls' difference principle) or luck egalitarianism. Taken together, the cost-blind approach to rights, coupled with the narrow view of human misfortune, mean the liberal egalitarian theories of justice cannot address the issue of trade-offs that inevitably arises in real non-ideal societies that face the fact of scarcity. This makes liberal egalitarianism an ineffective theory of social justice.
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 | 0.014 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.049 |
| Scholarly communication | 0.007 | 0.014 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.009 | 0.016 |
| Insufficient payload (model declined to judge) | 0.007 | 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".