Bibliographic record
Abstract
The pluralism that marks modern, pluralist liberal democracies makes compromise an attractive goal of democratic decision-making. Compromise differs from consensus in that it is viewed as sub-optimal by all parties relative to the disagreement at hand, but preferable to the absence of agreement, as long as that which is agreed to does not require by any party the sacrifice of a fundamental value. Voting does not vitiate the need for compromise in democracies, given that all practicable electoral systems are only imperfect ways of translating political preferences into democratic representation. What’s more, deliberation aimed at consensus is inappropriate, and potentially counter-productive, in the context of pluralist liberal democracies. Deliberation aimed at compromise, rather than consensus, should therefore be promoted and practiced in pluralist liberal democracies. It requires deliberative procedures distinct from those that characterize deliberation aimed at consensus, in that it requires of parties to a disagreement that they be transparent about their comprehensive conceptions of the good, in order to be able to measure the mutual concession that parties make to one another in deliberation.
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 | 0.025 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.084 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".