Bibliographic record
Abstract
Recent political theory has attempted to unbundle demos and ethnos, and thus citizenship from national identity. There are two possible ways to meet this challenge: by taming the relationship between citizenship and the nation, for example, by defending a form of liberal multicultural nationalism, or by transcending it with a postnational, cosmopolitan conception of citizenship. Both strategies run up against the boundedness of democratic authority. In this paper, I argue that Shachar adresses this issue in an innovative way, but remains ultimately trapped by it. My argument has two parts. In the first one, I look at the analogy between property and citizenship on which Shachar rely to justify the obligations of wealthy states towards the global poor. I suggest that it does not work well to explain the rarity of citizenship and that the idea of taxing its value at the global level, however intuitive in liberal theory on property, could yield unexpected and non-liberal consequences. Nevertheless I also assess its merits. In the second part, I suggest that Shachar’s claim that her argument generates a legal obligation toward the global poor is not binding. It could only be so with the kind of cosmopolitan political institutions that she eschews. Thus we return where we begin.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.051 |
| Scholarly communication | 0.007 | 0.021 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.008 |
| 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".