Bibliographic record
Abstract
With The Birthright Lottery: Citizenship and Global Inequality , Ayelet Shachar is the first major scholar to put the rich theory of property law theory to work in the realm of citizenship. Assessed on its own criteria, the book delivers on its promise to shake up our thinking on this question. Nevertheless, I argue in this paper that her account is not ultimately persuasive. First, Shachar takes for granted that citizenship is a valuable resource. I suggest that today legal residency is more highly valued that citizenship. Also her defense of the state and the social advantages of having stable citizenship regimes does nothing to confront its decline as the central organizing principle of political life. Last but not least, the modalities of a birthright citizenship levy calls into question the underlying analysis. For instance, the current proposal looks undistinguishable from foreign aid and it would demand much more robust institutional organs of global governance that now exist. The second prong of her argument works at the domestic level as it tackles the problem of under- and over-inclusiveness of birthright citizenship. Here too I have reservations highlighted by modes of implementation.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".