Bibliographic record
Abstract
Limitation periods are, by nature, defense-sensitive. They are designed to bring closure, predictability and insurability to defendants while at the same time prompting plaintiffs not to sleep on their rights. Current trends in evolving legal doctrine continue to modify the effect of limitation periods in favor of a plaintiff in special circumstances. The concepts of discoverability and incapacity have become judicially imposed options for avoiding the harsh results of a limitation period if a plaintiff is unable to bring an action before the period expires. Working in the background of this jurisprudential outgrowth are the real or imagined pressures placed by an insurance industry seeking underwriting certainty. The effect is perhaps a perception that limitation periods are becoming softened and plaintiffs are wriggling free of the supposed closure, predictability and insurability that a strict limitation period is supposed to provide to defendants. This perception is one that may be behind the British Columbia Law Institute's latest report, The Ultimate Limitation Period: Updating the Limitation Act.
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 | 0.047 | 0.159 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.016 | 0.013 |
| Open science | 0.009 | 0.006 |
| Research integrity | 0.036 | 0.026 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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".