Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Mediator competence is hotly debated in the mediation discourse. What qualifications and skills are required of mediators? What kind of training should mediators undergo? Should mediators be licensed like lawyers, doctors, and other professionals? In the United States, Canada, Australia, and many other states there are no legal requirements for the practice of mediation in private settings. Any person can practice mediation if he or she is acceptable to the parties. However, there is a requirement for qualifications in many mediation programs established by states, courts, and professional mediator organizations. Persons who wish to conduct mediations in connection with these programs and be on their list of mediators must meet minimum requirements that vary from program to program. Some programs set requirements according to the type of mediated cases, requiring general qualifications for civil cases and special qualifications for categories of cases such as family or divorce, child custody, or domestic violence. Court programs sometimes set requirements that vary in accordance with the court with which mediators are listed, be it a civil court, family court, superior court, or other. The qualifications required of mediators may include requirements for good character; X hours of approved mediation training (for example, 20 hours in Alabama, 30 hours in Minnesota, 38 hours according to the Australia National Mediator Accreditation System, 40 hours in Indiana, or 180 hours according to the ADR Canada Chartered Mediators Accreditation Program); being a licensed attorney with X years of practice of law (for example, 4 years in Alabama, or 5 years in North Carolina) or having a degree in certain fields (for example, psychology, accountancy, social work) with X years of practice; completing X hours of continuing education every X years; or an undertaking to provide X hours of pro bono mediation services to the public every X years.
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.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it