Bibliographic record
Abstract
Abstract This article examines Risse and Wollner’s discussion and rejection of several strategies a) in favour of developed countries subsidising their producers, and b) against the relocation of firms operating on their territory. It argues that their critical review of these strategies remains incomplete and therefore not decisive. It starts by bringing into relief two blind spots in their moral assessment of subsidies. The first concerns the imperfect nature of the general duties of global justice they focus on; the second concerns their understanding of the relation between these duties and duties of social justice. While addressing these two difficulties, it presents another possible strategy in support of subsidies, which Risse and Wollner fail to examine: the ‘equal citizenship’ strategy. This strategy is mobilised again in an assessment of Risse and Wollner’s treatment of relocations. In this context, some doubts are raised about the remedy Risse and Wollner prescribe to overcome both social injustices and exploitative relocations ― namely, the domestic redistribution by governments of the gains of international trade. It is argued that such a redistribution is both insufficient to combat social exclusion and threatened by the very practice of trade liberalisation that Risse and Wollner seek to defend.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.044 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".