Support for the Early Years and Australia’s Future Health: The Australian Early Development Index
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Substantial evidence supports the early years of child development as crucial to setting the foundation for competence and coping skills that will affect learning, behaviour and health throughout the life course. The subject of early child development must be a high priority for communities, and their governments- from macro policy development to local service delivery. With resources scarce it is vital that all policies and services for children and families are based on solid evidence. This evidence needs to be of high quality, replicable for benchmarking, freely available to all residing and working in the community and reflect the breadth of child development. The Canadian designed Early Development Index (EDI) is a population level instrument that measures five developmental domains: language and cognitive skills, emotional maturity, physical health and well-being, communication skills/general knowledge and social competence. The EDI provides a scorecard for communities interested in learning what is going right and wrong for their children. It also provides evidence that communities can use to advocate for improvement of programs and facilities relevant to the early years. In 2002 the North Metropolitan Health Service (NMHS) piloted the EDI in seven suburbs, the first time the EDI had been utilised outside Canada. Positive results led to the development of Communities for Early
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 it