Using parent report for assessment of the first language of English language learners
Bibliographic record
Abstract
Assessment of both languages is recommended when assessing English language learners (ELL) but may not always be practical. Use of a parent questionnaire, such as the Alberta Language and Development Questionnaire (ALDeQ), can assist in obtaining first language (L1) information. This study aimed to use the Canadian developed ALDeQ within an Australian population and determine whether ALDeQ scores would differentiate between ELL who were typically developing compared to ELL with language difficulty. A background questionnaire and the ALDeQ were administered to parents of 14 ELL that were typically developing and 3 ELL with apparent language difficulty aged between 5;3 and 8;7 years. ALDeQ Total Scores of typically developing Australian ELL were consistent with the Canadian norming population and significantly higher than the scores of the group with language difficulties. Although results are promising, further research is necessary to support use of the ALDeQ to investigate L1 abilities of ELL within an Australian population.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".