GOVERNING THE CANADIAN STATE: THE CONSTITUTION IN AN ERA OF GLOBALIZATION, NEO-LIBERALISM, POPULISM, DECENTRALIZATION AND JUDICIAL ACTIVISM
Bibliographic record
Abstract
Viewer discretion is advised. I am going to offer you a perspective on the constitution which is stranger even than the Trudeau vision which twenty years ago sparked his epic battles with Merv Leitch and Peter Lougheed over the National Energy Policy, the Charter,1 and repatriation of the Constitution. And worse yet, though I worry about the Constitution, I do not know much about it; I do not often write about it, and as I will demonstrate in a moment, I am not even sure what it is. I did, however, read something recently in a book on modern European history which seemed to capture my own sentiments almost exactly — an observation attributed to a peasant in Salonika, then under Turkish rule, in 1908: “Constitution is such a wonderful thing,” said this peasant, “that he who does not know what it is, is a donkey.”2 I identify with the donkey, not the peasant.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.029 | 0.028 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".