Children's inference generation across different media
Why this work is in the frame
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Bibliographic record
Abstract
In the present study, we investigated the degree to which children's inference generation ability generalises across different media and predicts narrative comprehension over and above basic language skills and vocabulary. To address both aims, we followed two cohorts of children aged 4 and 6 as they turned 6 and 8 years old, respectively. At each time point we assessed their inference and narrative comprehension skills using aural, televised and written stories. We also assessed their basic language skills and vocabulary. The findings demonstrated that children's inference generation skills were highly inter‐related across different media for both cohorts and at both time points. Also, children's inference generation had a significant contribution to children's narrative comprehension over and above basic language skills, vocabulary and media factors. The current set of findings has important theoretical and practical implications for early diagnosis and intervention in young children's high‐order comprehension skills.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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