Bibliographic record
Abstract
This article carves out a new path between the two dominant wings of contemporary egalitarianism. The luck egalitarian emphasis on choice and personal responsibility is misplaced because individuals differ so deeply, and arbitrarily, in their choice-making capacities. Allowing inequalities to result from ‘choice’ is akin to allowing inequalities to stem from the possession of any other morally arbitrary factor – such as skin colour or gender. The move towards relational egalitarianism has been a case of two-steps forward, one-step back. While the shift away from the focus on choice is salutary, the concurrent rejection of luck is problematic, given the prevalence and importance of luck-based discrepancies in opportunities to lead a good life. A new conceptual framework is presented: good life egalitarianism. The guiding idea is that given the unavoidable arbitrariness of human capacities, the foundation for a good life should be assured for people regardless of the actual choices that they make. The essential goods necessary for leading a good life – such as the opportunities to self-determine and to enjoy non-dominating social relationships – should be guaranteed to all.
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 | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.046 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".