Introductory Essay: The Rule of Law as the Rule of Artificial Reason
Bibliographic record
Abstract
What is meant by the phrase “rule of law”, and what is at stake in our public discourse about this ideal? The authors conjecture that contemporary attacks to the rule of law resonate within the legal profession because of the influence of instrumentalist thinking on our legal epistemology. Legal instrumentalism, which sees in law a mere means to an end, denies the existence of a specifically legal form of reasoning and rationalizes the law solely by appeal to external, extra-legal perspectives. This introductory chapter reviews several theories of the rule of law, tracing the eclipse of the common law tradition of “law as artificial reason” for the instrumentalist concept of “law as will”. A renewed engagement with law as artificial reason integrates the structural, institutional, and procedural dimensions of legal activity, drawing attention to the role of the legal profession, particularly judges, in sustaining the values of legality and the rule of law.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".