Influences of number of adults and adult: child ratios on the quantity of adult language input across childcare settings
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
New approaches to examining the language environment are putting greater emphasis on the use of highly naturalistic audio recordings and questions about cross-cultural differences in children’s real-world language experiences. These new approaches and questions require careful examination of different kinds of variables that may influence children’s language experiences. The current study examines the influence of the number of adults and adult:child ratio on the number of words heard by young children across three childcare settings (home, home daycare and daycare centre). The home setting was characterized by a high number of one-on-one interactions, while children in daycare centres were exposed to larger numbers of adults present. While a linear relationship was found between the number/ratio of adults and words heard in the home setting, these relationships were more complex in daycare centres, and no relationships were found in home daycares.
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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) | 0.001 | 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