SETTLING OF DISPUTES BETWEEN AN INDIVIDUAL AND AN ADMINISTRATIVE ORGAN IN THE COMMON LAW SYSTEM (REMARKS ON THE ‘ADMINISTRATIVE LAW IN CANADA’ BY SARA BLAKE)
Bibliographic record
Abstract
The paper presents issues that are the main subject of Sara Blake’s ‘Administrative Law in Canada.’ Sara Blake has practiced general civil litigation since 1997. She is a lawyer with the Ontario Ministry of the Attorney General, Crown Law Office – Civil Law, where she acts for the government ministries and agencies in appeals, civil actions, applications for judicial review and tribunal hearings. In her opinion: ‘Administrative law is the law that governs how these decisions are made in individual cases’ (p. 4). Therefore, her book concerns the proceedings before administrative tribunals and a review of their actions. The book is divided into two parts. The first part (chapters 2 to 5) describes the rules according to which tribunals are expected to operate. The generic term ‘tribunal’ is used to include all public officials, boards and agencies who exercise statutory authority. The second part (chapters 6 to 9) explains the types of redress that are available and how they may be obtained. Tribunals belong to the administrative, not the judicial, arm of government, even though at times they may appear to be remarkably court-like. The specific kind of tribunals (the appellate tribunals) may, and do, engage in review of the merits of a decision and usually have the powers to vary, or substitute with another, the decision of the original decision-maker. Except to the extent authorised by statute, members of adjudicative tribunals should be independent of those who appoint them and pay their salaries. Only in that way can they adjudicate each case free from interference. However, as Sara Blake underlines, ‘There is no constitutional right to a hearing before independent and impartial tribunal’. In her view, the test for independence of judges, which has a constitutional basis, cannot apply to tribunals, ‘which are creatures of statute and operate as part of government’. Administrative tribunals cannot be as independent as judges because ‘tribunals are established to implement and, often, to make government policy’ (p. 107). The requirement for independence was developed in the adjudicative context of the courts. It cannot be strictly applied to a policy-making context, said Sara Blake. The author of this paper is of the opinion that the idea of external review by independent but non-judicial bodies opens promising perspectives for the development of administrative law also in Poland.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.037 | 0.033 |
| Scholarly communication | 0.018 | 0.007 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.018 | 0.016 |
| 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".