Integrating cultural considerations and developmental screening into an Australian First Nations child health check
Bibliographic record
Abstract
The aim of the present study was to integrate cultural considerations and developmental screening into a First Nations child health check. The 'Share and Care Check,' an optimised child health check, was co-designed with a remote Aboriginal Community Controlled Health Organisation and led by Aboriginal Health Practitioners/Workers. Of 55 families who completed the Share and Care Check, the majority of participants indicated that their family/child was connected with their tribe and country. However, half of the caregivers reported that they or their child would like to know more about their tribe. The most common developmental screening outcome was no functional concerns (32.7%), followed by having one area identified as a functional concern (24.5%) and two functional concerns (16.3%). All caregivers reported that the Share and Care Check was culturally appropriate, and the majority also reported that it was helpful. Data obtained from questions regarding cultural and developmental aspects of health can assist health providers regarding the best pathway of support for a child and their family. This could ultimately contribute to closing the gap through the provision of holistic culturally appropriate services.
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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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| 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".