Bibliographic record
Abstract
My goal in this essay is to identify the models of rights protection that have existed in Canadian judicial review of administrative action, to assess their advantages and disadvantages, and to suggest future pathways for the development of rights protection in Canadian public law. I identify three current and past models: the vires model, from the pre-Charter era; the proportionality model, from the early-Charter era; and the deference model, which is currently in use. Assessing the advantages and disadvantages of these models allows me to set out an alternative model – the public law model – which draws on the strengths of both administrative law and constitutional law to provide enhanced judicial protection for rights. In the public law model, the proportionality model is retained, such that the Oakes test is applied to assess the proportionality of infringements of the Charter, but the vires model is enhanced to strengthen the protection of rights, such that the animating concern of the deference model – that administrative law be given a proper role in rights protection – is taken into account. The lesson of my survey of models of rights protection is that the vires model, the proportionality model and the deference model all have some advantages but also have disadvantages. A consideration of their relative merits leads to the conclusion that a public law model, with its combination of ex ante and ex post controls, would provide superior protection to Charter rights liable to be infringed by administrative decisions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.005 | 0.038 |
| Scholarly communication | 0.016 | 0.014 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 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".