Bibliographic record
Abstract
Abstract What role do human relationships play within the moral domain? There appears to be a lot of agreement that relationships play an important role in and for morality, but certainly not any foundational one. Yet, there has been a recent interest in seeking to explain the foundation of morality in relational terms. According to these relational proposals, the very foundation of impartial morality, and in particular the domain of “what we owe to each other” can be found in the same normative structures that are characteristic of interpersonal relationships and the partial reasons they give rise to. This suggestion has been met with serious criticism, according to which any seeming appeal to a so‐called moral relationship does no work in grounding morality and the obligations that we owe to each other. The present paper intends to challenge this conclusion by arguing that the objections rendered are not decisive, as a result of which we can begin to make sense of the idea that we do share a reason‐giving relationship with each other in the moral sphere. The moral relationship, the paper argues, is one we simply share with each other in virtue of our shared vulnerability to attitudinal injury as rational agents.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.042 |
| Scholarly communication | 0.008 | 0.014 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".