Special Relationships, Motivation and the Pursuit of Global Egalitarianism
Bibliographic record
Abstract
One of the most significant challenges facing global egalitarian theorists is the motivational gap: there is a noted gap between the duties imposed by a global commitment to the equal moral worth of all people and the willingness of the wealthy to carry out these duties. For Pablo Gilabert, the apparent absence of motivation to act justly on a global scale presses us to consider the importance of feasibility in developing a persuasive account of global justice, part of which requires being attentive to what motivates us to act in support of global egalitarianism. In this article, I am critical of Gilabert’s account of the role that relationships between individuals play in conceiving our global justice duties. I begin with an account of some confusion in Gilabert’s account of the actual costs likely to be imposed on citizens of wealthy states as a result of the duties he demands of us and why it is important to resolve that confusion. I will then consider, and critique, Gilabert’s account of special responsibilities. I shall argue that, fundamentally, there is an ineliminable tension between the special responsibilities individuals legitimately possess and the duties they have to eradicate global poverty.
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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 | 0.005 | 0.004 |
| 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 | 0.040 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".