Bibliographic record
Abstract
Abstract Every country must allocate final decision-making authority over different issues/subjects within its boundaries. Historically, many scholars working on this topic implicitly assumed that identifying the features providing entities with justified claims for authority and the entities possessing those features would also identify which groups should have which powers (or vice versa). However, many candidate allocative principles select multiple entities as candidates for some sub-state authority and yet fail to explain which powers each should possess. Further work must explain which groups should possess which powers when and what to do when two groups can make equally-valid authority claims using the same principle. Subsidiarity, the principle under which authority should presumptively belong to the entity representing those ‘most affected’ by its exercise and capable of addressing underlying problems, is one of the few principles focused on identifying which groups should have which powers. Unfortunately, subsidiarity alone does not provide guidance on many issues/subjects. Useful subsidiarity-related guidance relies on balancing underlying justificatory interests, which do the real allocative work. Another allocative principle remains necessary. A deflationary account of subsidiarity’s allocative potential nonetheless provides insights into how to articulate a new principle and accounts of subsidiarity that can fulfill other moral roles.
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 | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.035 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".