Access to Justice and the Public Interest in the Administration of Justice
Bibliographic record
Abstract
The public interest in the administration of justice requires access to justice for all. But access to justice must be “meaningful” access. Meaningful access requires procedures, processes, and institutional structures that facilitate communication among participants and decision-makers and ensure that judges and other decision-makers have the resources they need to render fully informed and sound decisions. Working from that premise, which is based on a reconceptualization of the objectives and methods of the justice process, the author proposes numerous specific changes in decision-making processes and practices. These changes are required to achieve a standard of decision-making that is consistent with the public interest in the administration of justice within a constitutional framework under the social and political conditions of the early 21st century. The essay illustrates the application of the principles and methods of legitecture to analysis of problems of institutional design in law.
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 | 0.028 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.107 |
| Scholarly communication | 0.031 | 0.023 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.014 | 0.012 |
| Insufficient payload (model declined to judge) | 0.007 | 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; 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".