REDUCING THE “JUSTICE GAP” THROUGH ACCESS TO LEGAL INFORMATION: ESTABLISHING ACCESS TO JUSTICE ENTRY POINTS AT PUBLIC LIBRARIES
Bibliographic record
Abstract
Among the strategies to improve public access to justice, increasing the accessibility and comprehensibility of legal information must be ranked as important. In this paper, the authors explore how libraries and librarians might play a role in providing the public with access and guidance to legal information. These issues are considered primarily in the context of two scenarios: that of the self-represented litigant, and that of a party to a limited scope retainer. The authors consider in particular how public libraries as a public space and public librarians as trusted intermediaries might support the objective of greater access. The possible roles of law society/courthouse and academic libraries in training and collection development are also considered. The distinction between providing access to legal information and giving legal advice is discussed briefly, and the authors suggest some possible ways of clarifying this distinction while pursuing the goal of expanding public access to legal information.
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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 | 0.002 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.012 | 0.048 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".