The Promise and Perils of Dialogue
Bibliographic record
Abstract
This chapter examines the idea of ’dialogue’ as a way of conceptualising the relationship between the courts and the legislature in a system of ’weak-form review’. Tracking the trajectory of dialogue theory in Canada and in the UK, this chapter outlines the promise and perils of dialogue. By highlighting the iterative and interactive dynamic between courts and legislatures when seeking to uphold rights, the metaphor of dialogue held out the promise that it could transcend the Manichean narrative. However, the chapter argues that the idea of dialogue overpromised and underdelivered. It failed to take us beyond the Manichean narrative and ultimately provided a misleading and distorted understanding of the constitutional relationships between the branches of government in a constitutional democracy.
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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 | 0.038 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.096 |
| Scholarly communication | 0.029 | 0.042 |
| Open science | 0.002 | 0.019 |
| Research integrity | 0.007 | 0.015 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".