LESSONS LEARNED FROM A CHILD PROTECTION MEDIATION PROGRAM: If At First You Succeed and Then You Don't…
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
This article discusses the U.A.L.R. child protection mediation program as well as several other child protection mediation programs in order to examine what makes a program a continuing success. Child protection mediation programs have gone through a period of tremendous progress and growth over the past 20 years in the United States and Canada. Numerous studies have shown that child protection mediation helps families and courts by lowering the amount of time that children spend in foster care and the amount of costs for courts and agencies. Child protection mediation is an essential tool for juvenile courts and the families that have cases there. This article addresses the development of child protection mediation programs, their importance to juvenile courts, and some reasons that these programs succeed or fail. Although many of these programs have early accomplishments, they have not always been able to maintain their growth or to continue to exist. The U.A.L.R. Mediation Project has not sustained its early levels of cases or referrals from court for numerous reasons. Using the techniques of other thriving programs, we will attempt to restart and re‐energize the program. It has been established that the people who have a role in the establishment of a program, the funding sources and especially the commitment of the parties to the program all have a significant long‐term impact. This article points out how programs should begin and proceed if they are to be a long‐term success.
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 | 0.001 | 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 | 0.001 | 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 | 0.000 |
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