THE EVOLUTION OF SMALL CLAIMS COURT: RISING MONETARY LIMITS AND USE OF LEGAL REPRESENTATION
Bibliographic record
Abstract
Do higher small claims court monetary limits expand access to “simplified” justice or do they erode the character of the “People’s Court”? This paper reports the initial findings of a study of claims filed in the Toronto Small Claims Court in the two years before and after Ontario raised the Court’s monetary limit from $10,000 to $25,000. Claim values and distribution across the value range are significantly changed following the monetary limit increase while claim volume remains at pre-increase levels. Predictably, proportionate use of legal representation by plaintiffs and defendants also increases after the limit increase.\n\n \n\nLes limites pécuniaires plus élevées qui s’appliquent à la compétence de la Cour des petites créances ont-elles pour effet d’élargir l’accès à la justice « simplifiée » ou plutôt d’affaiblir le caractère populaire de cette « cour du peuple »? Ce document fait état des premiers résultats d’une étude des réclamations déposées à la Cour des petites créances de Toronto au cours des deux années qui ont précédé et suivi la date à laquelle l’Ontario a fait passer la limite pécuniaire de la compétence de la Cour de 10 000 $ à 25 000 $. Les valeurs des réclamations et leur répartition dans la fourchette de valeurs évoluent sensiblement après l’augmentation des limites pécuniaires, tandis que le volume des réclamations demeure semblable à celui qu’il était avant cette hausse. L’utilisation proportionnelle de représentants juridiques par les demandeurs et les défendeurs augmente également après l’accroissement des limites, ce qui était prévisible.
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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".