Bibliographic record
Abstract
Abstract Court Decisions The View from Above—Canada!—on Attacking the Mediation ‘Fortress’ of Confidentiality By David I. Bristow Q.C. Ohio Uniform Mediation Act Case Protects Confidentiality By Madeleine Elkan CPR News For Spring, a New York Training, and Y‐ADR Returns Mass Claims Book Is Launched with a D.C. Reception CPR's Annual Meeting, Now Available Online Highlights from the CPR Annual Meeting By Russ Bleemer Worldly Perspectives Mediation Is on the Books in Lithuania, But the Practice, So Far, Has Been Limited By Giuseppe De Palo and Mary B. Trevor International ADR Update: More on European Mediation ‘Installment,’ as Italy Adds Mandatory ADR in Its Courts The ADR Strike Went on. And So Did the ADR. By Russ Bleemer A Mediator for the Lawyers, and Italy's Minister of Justice By Giuseppe De Palo ADR Briefs Med Mal Numbers Show Health Care ADR Works—Even without Doctors Health Care Appropriation Provides a Court‐Based ADR Pilot Program By Russ Bleemer
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.860 | 0.783 |
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; the direct Gemma label and the distilled Codex classifier 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".