Vocabulary enrichment using an E-book with and without kindergarten teacher’s support among LSES children
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
We examined an intervention in kindergarten using an e-book for vocabulary enrichment. In programme (a), the children read the e-book with a dictionary and the teacher’s support. In programme (b), the children read the e-book with the dictionary independently. In programme (c), the children read the e-book without a dictionary (control). The participants included 103 children (aged 5–6) from LSES families. They read the e-book in the kindergarten class six times. The children were tested pre, post 1 and post 2, on story focal words at the receptive, explanation and production level. Children who read the e-book with the dictionary and the teacher’s support learned more words than those, who read the e-book with the dictionary independently, and more than the control. Achievements were maintained after one month. Children with an initial low level progressed more than those with a high level. The findings and their implications are discussed.
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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