Bibliographic record
Abstract
In today’s world, one’s place of birth and one’s parentage are — by law — relevant to, and often conclusive of, one’s access to membership in a particular political community. Birthright citizenship largely shapes the allocation of membership entitlement itself (the "gate-keeping" or demos-demarcation function of citizenship). But no less significantly, it also distributes opportunity unequally (the "wealthpreserving" function of citizenship). This makes citizenship a matter of inherited entitlement. In a world in which membership in different political communities translates into very different starting points in life, upholding this legal connection between birth, political membership, and life opportunities raises important questions of distributive justice. These questions are particularly pressing given that the vast majority of the world’s population — 97 out of every 100 people — acquire political membership via circumstances beyond their control, that is, according to where and to whom they were born. While we find vibrant debates in the literature about the legitimacy of citizenship’s demos-demarcation function, the perpetuation of unequal starting points through intergenerational transmission of membership has largely escaped scrutiny. It is this omission that this Article aims to address.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.087 |
| Scholarly communication | 0.012 | 0.021 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".