NO AMENDMENT? NO PROBLEM: JUDGES, “INFORMAL AMENDMENT,” AND THE EVOLUTION OF CONSTITUTIONAL MEANING IN THE FEDERAL DEMOCRACIES OF AUSTRALIA, CANADA, INDIA, AND THE UNITED STATES
Bibliographic record
Abstract
This article considers the way in which judges play a significant role in developing the meaning of a constitution through the exercise of interpretive choices that have the effect of “informally amending” the text. We demonstrate this by examining four written federal democratic constitutions: those of the United States, the first written federal democratic constitution; India, the federal constitution of the largest democracy on earth; and the constitutions of Canada and Australia, both federal and democratic, but emerging from the English unwritten tradition. We divide our consideration of these constitutions into two ideal types, identified by Bruce Ackerman: the “revolutionary” constitutions of the United States and India, and the “adaptive establishmentarian” constitutions of Canada and Australia. In this way, we show that judicial informal amendment changes constitutional meaning in both revolutionary and adaptive settings. We conclude that whatever the origins of a federal democratic constitution, be it revolutionary or adaptive establishmentarian, and whatever the background of the judges and the text with which they work, in the absence of formal amendment, judges use an image of the constitution to give and to change the meaning of a written text over time. This allows a constitution to adapt to changing social, economic, and political conditions where formal amendment, for whatever reason, proves difficult. But, in some cases, it might also leave a federal democracy with a constitution which the Framers did not intend. Whatever the outcome, though, the judges play a central role in the evolution of constitutional meaning over time, for good or for ill.
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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 | 0.008 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.053 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.006 |
| 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".