Bibliographic record
Abstract
In The Birthright Lottery, Ayelet Shachar subjects the institution of birthright citizenship to close scrutiny by applying to citizenship the historical and philosophical critique of hereditary ownership built up over four centuries of liberal and democratic theory, and proposing compelling alternatives drawn from the theory of private law to the usual modes of conveyance of membership. Nonetheless, there are some difficulties with this critique. First, the analogy between entailed property and birthright citizenship is not as illustrative as Shachar intends it to be; second, the mechanism of the birthright privilege levy is insufficient for addressing structural impediments to growth; and third, the principle of ius nexi, while an important corrective to currently dominant principles of nationality, will likely have effects both unnecessary and insufficient to correct the injustices that Shachar identifies. In the end, the most significant improvements in the lives of the neediest persons on the planet are more likely advanced through conventional arguments for the lowering of barriers to the circulation of goods, labor, and capital. This shift in attention from opening borders to extending citizenship risks being a distraction from more effective means of addressing the injustices associated with global inequality.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.040 |
| Scholarly communication | 0.012 | 0.013 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".