Bibliographic record
Abstract
RIGHTS is a normative concept. This gives rise to three desiderata for conceptualizing RIGHTS: first, given the wide variety of contexts in which rights are invoked, an account of RIGHTS must be suitably general; second, since deploying the concept of rights involves making normative judgments, the account must explain how the concept is action guiding. At the same time, in light of moral disagreement and value pluralism, an account of rights cannot tell us which rights we have. The account must hence identify the types of normative judgments involved in the deployment of RIGHTS and, at the same time, make room for ethical disagreement about the content of specific rights. The article proposes an account of rights that meets these criteria. The model comprises three dimensions: constraint, value, and the right’s individual context. It allows us to understand disagreements about rights as substantive normative ones rather than as conceptual misunderstandings.
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 | 0.013 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.088 |
| Scholarly communication | 0.017 | 0.036 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 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".