Proof of concept of the Universal Baby video innovation for early child development in Lima, Peru
Bibliographic record
Abstract
OBJECTIVE: Community-based video interventions offer an effective and potentially scalable early interaction coaching tool for caregivers living in low resource settings. We tested the Universal Baby (UB) video innovation; an early interaction coaching tool using video sourced and produced locally with early child development (ECD) expert supervision. METHODS: This proof-of-concept study enrolled 40 caregivers of children ages 10-18 months assigned to intervention and control groups by health establishments in Carabayllo, Lima, Peru. Mother/child dyads received 12 weekly group health education sessions with social support. Of those, 16 caregivers also received 6 UB videos featuring brain science education and local clips of responsive, reciprocal interaction, also known as "serve and return" interaction. Survey data assessed feasibility and acceptability of the intervention. We assessed improved quality of mother/child interaction using the Parenting Interactions with Children: Checklist of Observations Linked to Outcomes (PICCOLO). RESULTS: We found the program feasible. We successfully trained the local team to produce UB videos using locally-sourced footage and delivered the videos as part of a community-based intervention. We also found it to be acceptable in that participants enthusiastically received the UB videos, reporting they enjoyed being videotaped, and learned how to recognize and appropriately respond to their child's nuanced sounds and gestures. The median change in total PICCOLO scores favored the intervention group compared to the control group. CONCLUSIONS: UB offers great potential as a sustainable, potentially scalable, and culturally appropriate tool to promote equity for child development among young children living in low resource homes globally.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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 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".