You Don’t Need a Metaphor to Know Which Way the Case Goes: The Senate Reference and Constitutional Metaphors
Bibliographic record
Abstract
This article uses the Supreme Court of Canada’s Reference re Senate Reform as a basis for arguing that metaphors are not always appropriate in constitutional adjudication. In that decision, the Court relies on the metaphor of “constitutional architecture” ten times (11 if a subheading is counted). Despite the multiple references, the Court leaves unanswered questions about what the architecture metaphor is doing. Does it help to clarify? Is it the same or different from the text itself? Is it the same or different from “structure”? Is not the metaphor itself capable of multiple meanings? Relying too heavily on metaphors allows figurative usage to do the heavy lifting of rigour and persuasion and may cause more problems than it seeks to resolve. The Senate Reference’s extensive use of the architecture metaphor also allows the author a chance to examine some ideas related to architecture itself, and how its inherent indeterminacy and illusory nature represent a peculiar choice for the Supreme Court to rely on in coming to terms with Canada’s institutions.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.014 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".