Roncarelli’s Green Card: The Role of Citizenship in Randian Constitutionalism
Bibliographic record
Abstract
This article investigates the distinct character of Randian constitutionalism and how it may have been inspired by American discourse on constitutional values. More specifically, the author examines how Justice Rand’s brand of constitutionalism is distinguishable from the more dominant strain of Diceyan constitutionalism that was prominent among Canadian jurists during the twentieth century. The author argues that the difference between Randian and Diceyan constitutionalism can be explained largely by the central role that “citizenship” played in Justice Rand’s understanding of the Canadian constitutional order. The author further argues that Justice Rand did not invent his conception of citizenship, but borrowed it from American constitutional jurisprudence regarding the Fourteenth Amendment to the Constitution of the United States. Accordingly, Justice Rand’s opinion in Roncarelli and other cases shows how his constitutional vision was shaped by a series of strong dissenting opinions concerning the now-defunct Privileges or Immunities Clause in the Fourteenth Amendment. By doing so, Justice Rand sought to install in Canadian public law the same fundamental principles of equality and non-discrimination that the American Congress intended to establish by adopting the Fourteenth Amendment.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.031 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".