Bibliographic record
Abstract
Abstract Most of us believe that future people – i.e., people who do not yet exist, but who will exist in the future – are directly relevant for questions of justice. Most of us also believe that those who rule should not only rule justly, but also legitimately. This invites the question: if future people matter for what counts as ruling justly, is the same true for ruling legitimately? Though it has recently been argued that future people matter for determining what is legitimate in the present, there appear to be reasons for scepticism about this possibility. It can be argued that our inability to rule future people makes it the case that we cannot act (il)legitimately towards them, and that therefore they are not directly morally relevant for what counts as ruling (il)legitimately in the present. This paper is devoted to responding to this sceptical challenge. I argue that even if we cannot act (il)legitimately towards future people, they might nevertheless have direct moral relevance for what is (il)legitimate in the present. Hence, the question of who we can act (il)legitimately towards settles no important questions on its own. This result has significant implications for the general question of how future people may feature in our theories about political legitimacy.
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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 | 0.033 | 0.061 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.105 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.011 | 0.016 |
| 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".