On the Operation of the Quieting of Titles Act in Newfoundland and Labrador
Bibliographic record
Abstract
This paper examines the operation of the Quieting of Titles Act in Newfoundland and Labrador, and in particular its operation in uncontested matters, from which written decisions do not emanate. Written decisions under the Quieting of Titles Act, particularly those at the appellate level, do not accurately reflect the operation of the statute in the uncontested context. This paper examines both reported and unreported decisions under the Act, and compares to Nova Scotia’s approach to resolving similar land title challenges, to provide clarity on the proper operation of the Act in practice.\nDans le présent article, nous examinons l’application de la Quieting of Titles Act de Terre-Neuve-et-Labrador, et en particulier son application dans les affaires non contestées, dont les décisions écrites ne sont pas publiées. Ces décisions rendues en vertu de la loi, en particulier celles rendues en appel, ne reflètent pas fidèlement l’application de la loi dans les situations non contestées. Nous examinons les décisions publiées et non publiées rendues en vertu de cette loi et les comparons à l’approche adoptée par la Nouvelle-Écosse pour résoudre des contestations similaires de titres fonciers, afin de clarifier le fonctionnement de la loi dans la pratique.
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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 | 0.013 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.015 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| 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".