Global justice, sovereign wealth funds and saving for the future
Bibliographic record
Abstract
In this paper I give some reasons why ‘saving for future generations’ is not as straightforward as it sounds and when we might be skeptical of the permissibility of states saving for future citizens, even though such savings are often seen to be morally praiseworthy. I emerge with an account of when state savings for future citizens through sovereign wealth funds may be morally permissible. I argue that we ought to follow a modified version of Armstrong’s criteria for the moral permissibility of sovereign wealth fund savings. That is, states are entitled to the full proceeds from the sale of a natural resource until their citizens’ basic rights are secured. Once they are, states are entitled only to the improved value of the resource, so long as they have not excluded others from the opportunity also to improve the resource. States may create sovereign wealth funds based on this improved value and, due to justified compatriot partiality, may choose to distribute those funds to current or future members of the state, even if non-citizens may be worse off and/or in greater need. Any residual value of the resource extraction must be redistributed globally.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.027 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| 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".