Extra-textual talk in shared book reading: a focus on questioning
Bibliographic record
Abstract
In this study we investigated the frequency and types of questions asked when parents read with their four-year-old children, the relationship between the frequency and types of questions parents and children asked, and the relationship between these and the children's early literacy knowledge. Forty dyads shared two narrative texts and two non-narrative texts. Overall, there were relatively few questions asked during the shared book reading. Parents asked four times as many questions as children and for the most part, questions appear to have low cognitive demand. Genre had little effect on the frequency of questions and the types of questions asked, in contrast with other research that has shown differences in interactions in shared reading of informational versus narrative texts. In terms of gender, there was very little difference in both frequency and type of questions. No significant relationships were found between the questions asked in the shared book readings and measures of children's early literacy knowledge (Test of Early Reading Ability 2 and alphabet knowledge). The study is important in that it contributes to an emerging literature that suggests a more tenuous relationship between shared book reading and children's early literacy knowledge than is sometimes assumed by educators.
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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 | 0.006 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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; 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".