Do we have relational reasons to care about intergenerational equality?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Relational egalitarians sometimes argue that a degree of distributive equality is necessary for social equality to obtain among members of society. In this paper, we consider how such arguments fare when extended to the intergenerational case. In particular, we examine whether relational reasons for distributive equality apply between non-overlapping generations. We claim that they do not. We begin by arguing that the most common reasons relational egalitarians offer in favour of distributive equality between contemporaries do not give us reasons to object to distributive inequality between non-overlapping generations. This argument by itself however will not fully suffice to show that there are no relational reasons to care about intergenerational distributive equality, given the nature of relational equality and its requirements in the intergenerational case are likely to be qualitatively different than in the contemporary case. Therefore, we also make the positive argument that for the intergenerational case to satisfy the requirements demanded by the ideal of relational equality it suffices that future persons’ interests are meaningfully incorporated and protected in the decision-making of preceding generations, and there is no basis for a concern with distributive equality. While some have argued that the one-way and asymmetrical causal influence between non-overlapping generations means concerns of social equality are inapplicable in the intergenerational case, we argue that the ongoing nature of this influence makes concerns of social equality appropriate. If successful, the upshot of the argument is that it can be coherent to maintain a commitment to relational equality between non-overlapping generations, all while remaining agnostic about distributive equality between them.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it