Achieving permanency for youth in foster care: assessing and strengthening emotional security
Bibliographic record
Abstract
ABSTRACT For some youth in foster care, the closest family or family‐like relationships are with the foster parents with whom they have lived for extended periods of time. Nonetheless, child welfare agencies often do not explore these relationships and the potential they may hold for youth for legal permanence through adoption or guardianship. Recognizing that social workers often lack resources to help them initiate permanency conversations, Casey Family Services, a direct service child welfare agency in the USA, developed a tool that social workers can use to explore youth's sense of emotional security with their foster parents and foster parents' sense of claiming and attachment with youth in their care. The research literature that suggests that emotional security is a critical component of successful permanence provided the foundation for the development of the Belonging and Emotional Security Tool (BEST). When used with youth and foster parents, the BEST was found to advance meaningful permanency conversations. The authors provide case examples of its use and discuss future directions for using the BEST and broadening its application.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".