The Ethics of Immigration Revisited: Response to Brock, Fabre, Risse and Song
Bibliographic record
Abstract
Abstract To a large extent, the differences between my four interlocutors and me have more to do with the way we choose to frame a question or approach a problem than with substantive disagreements. In her discussion of temporary workers and the brain drain, Gillian Brock implicitly assumes a different background framework of moral responsibility from the one I adopt in my book. Similarly, Cécile Fabre asks important questions about the intersection of immigration and criminal justice, but ones that I chose not to pursue in quite the same way or, in some cases, at all. Matthias Risse says that political theory should be ‘action‐guiding’, and I try to problematize that claim, at least to the extent that it limits the questions we can ask. Finally, I applaud the attention that Sarah Song brings to the link between political community and social membership but resist her suggestion that this shows that political community is more fundamental than social membership. I also suggest the need to clarify further the limits to democratic self‐determination.
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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 | 0.022 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.048 |
| Scholarly communication | 0.013 | 0.015 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.053 | 0.065 |
| 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".