Assessing development and readiness for school across different cultural and language groups
Bibliographic record
Abstract
This paper provides information on a measure that was developed to assess children's level of development at preschool and entry to school level, as well as their readiness for formal schooling. This measure - Who Am I? - is based on early copying and writing skills and is designed to identify the broad stages of development that underlie children's readiness for more formal learning in a school situation. Although originally developed in Australia, it has now been used in studies in a number of different countries, including Canada, and data from these studies provide some insight into the variations in development that are associated with different patterns of preschool provision and different ages of entry into an educational program. The results of these studies indicate that Who Am I? provides a valid measure of development across different language and cultural groups and can therefore be used as a tool to evaluate the effectiveness of different forms of early childhood provision, as well as children's readiness for more formal learning in a school situation.</br>[Copyright of Australian Journal of Learning Difficulties is the property of Routledge. Full article may be available at the publisher's website: http://dx.doi.org/10.1080/19404150802380597]
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".