Case conceptualization in child welfare: an underused resource to improve child, family, and provider outcomes
Bibliographic record
Abstract
Case conceptualization, formally known as case formulation, is one tool that assists in determining the best course of action for children and families experiencing family violence that has been under-utilized in child welfare. In this article we present a step-by-step case conceptualization process that considers the child welfare context. We then present a hypothetical case example of a 10-year-old child referred by a child welfare worker to evidence-based treatment for mental health and behavioural concerns. Mental health services are not helpful for the child and further consultation is enlisted. To more effectively guide intervention and treatment planning and ultimately improve outcomes for the child, we present case conceptualization as a process that incorporates relevant aspects of the child and family's history and circumstance. We conclude with a succinct case conceptualization and treatment plan to show how the prognosis of the child can be improved when case conceptualization is employed.
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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 | 0.025 | 0.040 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".