The Remote Infant Studies of Early Learning (RISE) Battery - A scalable assessment of cognitive development in infancy
Bibliographic record
Abstract
Capitalizing on advances in remote developmental testing and automated gaze detection, we established a battery of tasks for comprehensive evaluation of cognitive development in infancy. The Remote Infant Studies of Early Learning (RISE) Battery allows for large-scale assessment of skills hypothesized as building blocks of cognitive development. RISE assesses attention, memory, prediction, multimodal processing, word comprehension, social evaluation, and numeracy, all with established predictive value for developmental outcomes. Using childrenhelpingscience.com, we recruited 111 infants for participation from home, at their convenience. Results were consistent with preregistered predictions for attention, memory, prediction and word comprehension tasks, but not for multimodal processing, numeracy, and social evaluation tasks. Results support the use of this battery to investigate mechanisms of infant cognition in relation to early developmental trajectories, with implications for early identification of developmental delays, evaluation of interventions to enhance early development, and testing of computational models of infant cognition and learning.
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 | 0.014 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.001 | 0.012 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.000 | 0.002 |
| 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; 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".