Lexical repertoire of 24 and 30-month-old children speaking Brazilian portuguese: preliminary results
Bibliographic record
Abstract
ABSTRACT Purpose To check the lexical repertoire of Brazilian Portuguese-speaking children at 24 and 30 months of age and the association between the number of words spoken and the following variables: socioeconomic status, parents’ education, presence of siblings in the family, whether or not they attend school, and excessive use of tablets and cell phones. Methods 30 parents of children aged 24 months living in the state of São Paulo participated in the study. Using videoconferencing platforms, they underwent a speech-language pathology anamnesis, an interview with social services, and then they completed the “MacArthur Communicative Development Inventory - First Words and Gestures” as soon as their children were 24 and 30 months old. Quantitative and qualitative inferential inductive statistics were applied. Results the median number of words produced was 283 at 24 months and 401 at 30 months, indicating an increase of around 118 words after six months. The child attending a school environment had a significant relationship with increased vocabulary. Conclusion The study reinforces the fact that vocabulary grows with age and corroborates the fact that children aged 24 months already have a repertoire greater than 50 words. Those who attend school every day produce at least 70 more words than those who do 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 | 0.000 | 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 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".