Legal Information in Digital Form : The Challenge of Accessing Computerized Court Records.
Bibliographic record
Abstract
This paper addresses the question of digital access to court records that falls within the global reflection about access to law and justice. Based on research studying the way dockets are accessed in Quebec, our article highlights dimensions underlying the question of access to public legal information. Our findings showed an inequality of access between law professionals and non-professionals. However, there are always more citizens seeking to access their legal information on their own, specifically when representing themselves in justice situations. Even though dockets are now digitized, litigants face many barriers when trying to consult them. We review these barriers and stress the need to consider them all in the reflection on access to digital court records. Designing a solution to the access problem is a complex task which technology alone cannot resolve. We need to keep in mind that some initiatives intended to improve access might actually raise the barriers faced by some litigants. Moreover, the privacy issue surrounding the question of public information is also crucial to bear in mind. This paper shows that the docket consultation system is not optimal in Quebec. Improvements are needed that must be carefully thought out. In making them, it is important to adopt a comprehensive vision of the question of access to justice that considers the rights of each and every citizen.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".