Predicting the Learning Ability of Children with Autism: The Assessment of Basic Learning Abilities Test versus Parents' Predictions
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
The Assessment of Basic Learning Abilities (ABLA) test is a useful assessment and training tool for persons with developmental disabilities. The present study assessed the predictive validity of the ABLA test with 16 children diagnosed with an autistic spectrum disorder, eight who performed at ABLA Level 4 and eight who performed at ABLA Level 6. Twenty criterion tasks were selected, four at each of five ABLA levels. Predictions were made based on ABLA test performance and by parents as to whether each child would learn each of the criterion tasks (given certain conditions). The researchers then attempted to teach the 20 criterion tasks to each child until they reached either the pass standard or the fail standard of the ABLA test. Ninety-four percent of predictions based on ABLA performance were confirmed, and the ABLA test was significantly more accurate for predicting a child's performance than were parents.
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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 | 0.002 |
| 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 | 0.001 |
| 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