WHO OWNS WHAT? SOME REFLECTIONS ON THE FOUNDATION OF POLITICAL PHILOSOPHY
Bibliographic record
Abstract
Abstract Neither a doctrine of rights nor a doctrine of justice can provide a non-question-begging foundation for political philosophy. Instead, all political philosophical theories must rest on the recognition of the existence of moral agents, individual members of a natural kind capable of entering into associations with other moral agents. Beginning with moral agency, we can deduce that for there to be any associations, political or otherwise, there has to be the mutual recognition of self-ownership. The nature of moral agency excludes the possibility that groups like states or societies or nations can be moral agents. From moral agency and self-ownership, we can deduce the exigency of property ownership. On this basis, we can explain a state of affairs as just when and only when there is no aggression against moral agents. And we can show that the only nonarbitrary right is the right to self-ownership and property ownership. Thus, A has a right to p means: to deprive A of p is unjust. So, rights are founded on justice and justice is founded on property and property is founded on self-ownership and the recognition of self-ownership is a necessary condition for the mutual recognition of moral agency, the only possible basis for the existence of human associations. Thus, rights and justice are derivative or dependent concepts; they are not basic or foundational.
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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 | 0.018 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.011 | 0.079 |
| Scholarly communication | 0.015 | 0.018 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.010 | 0.015 |
| Insufficient payload (model declined to judge) | 0.007 | 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".