Protection for owners under the Irish law on adverse possession: an inconsistent use test or a qualified veto system?
Bibliographic record
Abstract
This article will assess the case for reforming the Irish law on adverse possession to confer additional protection on the owner. Assuming such reform is warranted, it is possible that an existing judicial solution, known as the rule in Leigh v Jack, has already been devised. Ontario’s experience with an equivalent rule, known as the inconsistent use test, is of interest in this context and certain academic literature is discussed which explains why the inconsistent use test was developed and argues in favour of its retention or resurrection. An alternative model of protection is then analyzed: the English Qualified Veto System of adverse possession introduced by the Land Registration Act 2002. I argue that a judicial or legislative reincarnation of the rule in Leigh v Jack would be an extremely flawed method of reforming the law in jurisdictions, such as Ireland, which are considering reform, as the Qualified Veto System more effectively responds to the difficulties which the inconsistent use test appears to be attempting to resolve. I conclude that such a Qualified Veto System, similar, although not identical to the one introduced in England, should be introduced in Ireland.
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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 | 0.021 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.028 |
| Scholarly communication | 0.015 | 0.010 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.011 | 0.011 |
| Insufficient payload (model declined to judge) | 0.005 | 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".