Measures of language outcomes using the Aboriginal Children's Survey.
Bibliographic record
Abstract
BACKGROUND: Speech and language skills are an important developmental milestone for all children, and one of the most prevalent forms of developmental delay among Aboriginal children. However, population-based indicators of Aboriginal children's language outcomes are limited. DATA AND METHODS: Data from the Aboriginal Children's Survey (ACS) were used to examine measures of language for Aboriginal children who were 2 to 5 years of age. Responses to ACS questions on ability in any language were examined in exploratory factor analyses to determine possible language indicators. Construct validity was examined by regressing language outcomes onto socio-demographic characteristics known to be associated with children's language. RESULTS: Four language outcomes were identified and labelled: expressive language, mutual understanding, story-telling, and speech and language difficulties. INTERPRETATION: The conceptualization of items from the ACS into separate language indicators can be used by researchers examining young Aboriginal children's language outcomes.
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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 | 0.000 |
| 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) | 0.001 | 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 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".