Bibliographic record
Abstract
What is the difference between “judge-made law” and the laws created by an elected assembly? The purpose of this paper is to investigate this question by addressing the differences and similarities between common law judgment and political judgment. I contend that there is something distinctive about common law judgment. This distinctive nature is the result of the different ground of validity of legal and political decisions. Legal judgment has a distinct ground of validity. This validity derives from two aspects of common law judgment: the impartiality of the decision-maker and the critical function built into common law reasoning itself. I articulate this view by drawing on Hannah Arendt’s lectures on Immanuel Kant’s Critique of Judgment, as well as on the work of theorists such as H.L.A. Hart, Ronald Dworkin and Joseph Raz. I also discuss Canadian and U.K. cases in which judges address their role and explain their views on precedent, the need for judgments to respond to the arguments of the parties, and the importance of law adapting to the constantly changing circumstances of the modern world.
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 | 0.035 | 0.096 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.011 | 0.092 |
| Scholarly communication | 0.021 | 0.027 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.009 | 0.010 |
| 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".