FREE MOVEMENT, FEDERALISM AND INSTITUTIONAL CHOICE: A CANADA-EU COMPARISON
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Although very different in many respects, the EU and Canada nevertheless confront common problems in certain areas. One such common problem is how to manage inter-state regulatory diversity within a federal (or federal-like), multinational system. This paper compares the different ways in which the EU and Canada have chosen to address the problem of national barriers to trade within their internal markets, and the consequences of these choices. It is somewhat counterintuitive for EU lawyers that a full-fledged state may have an internal market that is less integrated than that of the EU; and yet that is the case in Canada. The comparison is illuminating as to the different possible approaches of federal polities to the problem of state regulatory choices and barriers to trade, the paramount importance of institutional choice, and the significance of historical and political circumstances.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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 it