Bibliographic record
Abstract
Susan Moller Okin’s critique of libertarianism inJustice, Gender, and the Familyhas received only slight attention in the libertarian literature. I find this neglect of Okin’s argument surprising: The argument is straightforward and, if sound, it establishes a devastating conflict between the core libertarian notions of self-ownership and the acquisition of property through labour. In this paper, I first present a reconstruction of Okin’s argument. In brief, she points out that mothers make children through their labour; thus it would seem that mothers own their (adult) children; but this implies that the children are not self-owners. I then examine the two most common objections to this argument in the literature: mothers do not make children, and acquisition by labour includes an exception for persons. I give several replies to each objection, including an extension of Okin’s argument that I call Okin’s dilemma. This dilemma argues that the libertarian can avoid Okin’s conclusion only by requiring an involuntary property transfer. And this alternative, it seems, is just as unacceptable for many libertarians. I close with some speculation about the further implications of Okin’s dilemma for libertarianism.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.030 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".