Bibliographic record
Abstract
There is a dispute between welfare liberals and libertarians about whether redistribution of wealth is a rights violation. Welfare liberals believe that a state should redistribute income and wealth. In contrast, libertarians think redistribution is an intervention and a rights violation to the people who earn money in a free market by their inheritance or gifts. In the debate between Rawls and Nozick, there are two main disagreements about the liberty of whom and to what extent natural talents should be considered a shared asset by a state. MacIntyre thinks that Rawls and Nozick’s moral debate is meaningless since there is conceptual incommensurability of the rival arguments in it. His resolution offers a virtue ethics perspective to be a reconciliation, which fails to provide a universal moral principle in a multicultural world. However, a new way to understand the concept of labor seems to give a justificatory argument for redistribution and welfare state.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.021 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.010 | 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".