Readiness for school - Educators' perceptions and the Australian early development index
Bibliographic record
Abstract
The Canadian-based Early Development Index (EDI) defines school readiness within five developmental domains: physical health and wellbeing: social competence; emotional maturity; language and cognitive skills and communication skills and general knowledge. Based on other early development indices and trials within Canada, the EDI uses over one hundred indicators to determine 'whether a child is "performing well", average or "developmentally vulnerable." From its introduction to Australia in 2003 and subsequent modifications for an Australian audience, the Australian Early Development Index (AEDI) has been used in over 50 communities throughout Australia to collect data on school readiness for school, community and government use. However, the definition of school readiness is still a debate in schools, early childhood centres and homes nationwide. It is a question I asked of early childhood educators in a region where the AEDI results were recently announced. Their responses went beyond the child skills articulated in the AEDI to include the child's social context and relationships as components of school readiness.
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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 | 0.006 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; both teacher heads agree on what is shown here.
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".