Retaining infants and young children who experience transitions in care in longitudinal studies of child health and development: Considerations from the HEALthy Brain and Child Development study
Bibliographic record
Abstract
A transition in care (TIC) is a significant change in the primary adults who provide care for a child, involving a move to informal or formal non-parental care, including kinship and foster care. In this paper, we address three issues: (1) the theoretical and empirical reasons for retaining infants and children who experience TIC in longitudinal studies of child health and development; (2) the import of retaining infants and children who experience TIC in studies focusing on parental substance use; and (3) methodological strategies for following children with TIC. We discuss the HEALthy Brain and Child Development (HBCD) study as an example of how a large prospective longitudinal cohort study can retain children who experience TIC, describing strategies such as: (1) documenting the frequency and contexts of these transitions and their associations with child health, mental health, and neurodevelopment; (2) attending to consent and mandated reporting requirements; (3) being sensitive to state child welfare policies and practices; (4) addressing retention challenges; (5) focusing on issues related to diversity, equity, and inclusion; and (6) establishing methods that document transitions and flexibly follow children as they grow older.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".