Reducing Recurrent Care Proceedings: Building a Local Evidence Base in England
Bibliographic record
Abstract
Recent studies of public law care proceedings within the family justice system in England and Wales suggest that up to a quarter of all mothers who appear in such proceedings will reappear within a subsequent—or recurrent—set of such proceedings within seven years. In the last decade, new interdisciplinary research spanning social work, clinical psychology and sociology has defined and investigated the previously hidden challenge and social costs of ‘recurrent care proceedings’ (RCP). This article adds to this new field by analysing the core values, practice and impact of three different local services in the northwest of England working with birth parents to reduce the risk of recurrent proceedings. The article combines data gathered from the three distinct services using a common evaluation framework co-produced by the authors working with service leads, practitioners and users. It explores how all three services are seeking to reduce the risk of recurrent care proceedings in their local areas without requiring women to use long acting reversible contraception (LARC) or other forms of contraception as a condition of accessing the service. It concludes that insights gained from these and cognate services can inform an emergent community of practice in the recurrent care field.
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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 | 0.081 | 0.221 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".