Bibliographic record
Abstract
For liberal political philosophers the notion of ‘reasonableness’ has provided a moral and legal standard for judging the acceptability and, by extension, legitimacy of government behaviour. In order for a government directive to constitute a legitimate obligation on citizens, it must be compatible with the dictates of reason and treat all citizens in a reasonable manner. Arguably, such an approach achieves its most powerful presentation (to date, at least) in the theories of ‘political’ liberals, who typically assert that reasonableness must be the ‘final court of appeal’ in relation to decisions concerning matters of public import – i.e., those that place demands upon all citizens of the polity. According to political liberals, only by adopting and maintaining a governance framework that assigns primacy to reasonableness is it possible to obtain and preserve the desired protection against the abuse of political power. The purpose of this essay is to offer a brief review of the ‘reasonableness’ paradigm promoted by political liberals (in particular), and in the course of doing so, identify and assess a number of difficulties that would seem to undermine its ability to achieve its stated goal.
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 | 0.021 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.045 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".