The Role of Vocabulary Skills in a Storybook-Based Intervention to Stimulate Emotion Comprehension in Preschoolers
Bibliographic record
Abstract
Understanding emotions is an important predictor of children’s mental health and school adjustment. However, interventions to improve this skill are not always accessible to all children. In 2019, Roy, Dénommée, and Quenneville developed stories with content specifically designed to ‘teach’ about emotions. Because it is a literacy-oriented intervention, it is possible that vocabulary may play a role in learning. This project explored the role of vocabulary in understanding emotion in preschool children and its learning. Forty-three preschoolers (19 control and 24 experimental) were evaluated on vocabulary skills and emotion comprehension. For multiple components, results showed an effect of time of measure, regardless of group. However, the addition of receptive vocabulary as a covariate made this effect non-significant. Results revealed that the stories were an effective strategy in promoting emotion comprehension for Components Belief and Reminder; two skills that are in the process of development in this age group. Furthermore, vocabulary skills did not impact the interaction for Belief for post-test gains and, for Reminder, while emotional vocabulary skills impacted the interaction at post-test, receptive vocabulary did not.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".