Fast Mapping with Orthographic Support in School-Age Children: Exploring Statistical Patterns
Why this work is in the frame
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Bibliographic record
Abstract
This study explored the possible influence of phonotactic and orthotactic probability on fast mapping in school-age children with and without a developmental disorder. Participants were exposed to pictures of novel objects paired with spoken and written novel words, which varied in phonotactic and orthotactic probability. Fast mapping was examined with gaze behavior (proportion of looking time) and accuracy (picture identification, orthographic identification, picture naming). Participants were highly accurate during picture identification and orthographic identification, and less accurate during picture naming. Fast mapping was somewhat influenced by phonotactic and orthotactic probability. During picture identification, children were less likely to be accurate in trials with novel words with low orthotactic probability. Gaze behavior during exposure and response accuracy varied in terms of language ability and age.
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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 | 0.000 | 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) | 0.000 | 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