“Improving Access to Early Childhood Developmental Surveillance for Children from Culturally and Linguistically Diverse (CALD) Background”
Bibliographic record
Abstract
INTRODUCTION: Developmental vulnerabilities in pre-school aged children from culturally and linguistically diverse (CALD) backgrounds with low English proficiency are less likely to be identified through universal developmental surveillance. Barriers include low parental health literacy and low rates of attendance to mainstream child and family health services. Late detection of developmental vulnerabilities can have lifelong impacts on life trajectory. METHOD: Integrated outreach early childhood developmental surveillance was trialled in South East Sydney by local health services with non-government organisations (NGO) delivering early childhood education and support. NGO staff were trained in Parents Evaluation of Developmental Status (PEDS), a validated developmental screening tool to explore parental/carer and provider concerns [1]. Families with children identified with developmental concerns by NGO staff were referred to co-located or visiting Child and Family Health Nurses (CFHN), community child health, speech pathology or developmental services for developmental screening, assessment and/or care planning. RESULTS: Integrated health and NGO services improved access to developmental surveillance for CALD families in a non-threatening environment enabled by co-locating CFHN, or through visits by paediatric medical/speech pathology staff to participating playgroups. CONCLUSIONS AND DISCUSSION: Integration supported vulnerable families from CALD backgrounds to access developmental surveillance through child and family health services but required flexibility and adjustments by all involved.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".