A Call for Evidence-Based Research in ADR
Bibliographic record
Abstract
In any three-year period, almost half the adult population in Canada will experience at least one justiciable civil or family problem. Few, however, will have the resources to resolve their legal problems, thus highlighting longstanding barriers that make access to justice such a pressing issue in Canada. Among many global justice initiatives, a prominent call to action is Goal 16 of the 2030 United Nations Sustainable Development Goals, which commits nations to work towards ensuring equal access to justice for all by 2030. Although there is no single strategy to achieve this, evidence-based practices in all areas of civil and family justice can help close the access-to-justice gap by shining a light on where gaps exist and suggesting how they may be closed.
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 | 0.571 | 0.749 |
| Meta-epidemiology (narrow) | 0.003 | 0.005 |
| Meta-epidemiology (broad) | 0.013 | 0.018 |
| Bibliometrics | 0.019 | 0.015 |
| Science and technology studies | 0.007 | 0.028 |
| Scholarly communication | 0.037 | 0.062 |
| Open science | 0.020 | 0.020 |
| Research integrity | 0.059 | 0.060 |
| Insufficient payload (model declined to judge) | 0.032 | 0.009 |
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".