Transplanting class actions: A comparative analysis of the potential of canadian class actions for the Kuwaiti legal system
Bibliographic record
Abstract
The absence of a class action mechanism in a legal system hinders access to justice for individuals with similar claims, as it forces them to pursue costly and time-consuming litigation independently. This duplication of efforts burdens courts with repetitive adjudication of nearly identical issues, potentially leading to inconsistent judgments. To address these challenges and improve access to justice, this thesis explores the feasibility and potential benefits of introducing class actions into the Kuwaiti legal system, drawing on the Canadian class action model, particularly the frameworks in Quebec and Ontario. In doing so, the thesis addresses key questions such as whether class actions could be successfully transplanted into the Kuwaiti legal system, the challenges of transplantation, and how these challenges can be effectively addressed. Using a doctrinal comparative approach and drawing on the theory of legal transplants, this study explores how the procedural and cultural foundations of the Canadian legal system, including the mixed nature of Quebec’s legal order, can inform the integration of class actions into Kuwait’s procedural and cultural framework. The findings reveal significant procedural differences between Canada and Kuwait, with surprising similarities suggesting that the Kuwaiti legal system might be more receptive than resistant to class actions. The thesis finds that while class actions have traditionally developed in common law systems, their core principles can be adapted to Kuwait’s legal framework, provided that certain procedural reforms are made. Accordingly, the thesis contributes to ongoing legal reform discussions in Kuwait by proposing a model for integrating class actions in the Kuwaiti legal system and jurisdictions with similar frameworks
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.028 | 0.012 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".