Perfil da fluência de indivíduos com taquifemia
Bibliographic record
Abstract
BACKGROUND: Speech fluency in cluttering. AIM: To characterize and to compare the speech fluency in cluttering and fluent individuals. METHOD: Participants of this investigation were 14 individuals with ages between 8.0 and 40.11 years, of both genders, divided into two groups, paired by age and gender. GI was composed by 7 cluttering individuals and GII by 7 fluent individuals. The Speech Fluency Assessment Protocol was used to gather and to analyze the speech samples, taking into consideration the typology and frequency of speech disruption (SLD and OD) and speech rate, in words and syllables per minute. RESULTS: Data showed that the groups differed regarding the occurrence of the stuttering-like disfluencies and other disfluencies, number of words and syllables per minute. CONCLUSION: Cluttering individuals present a different fluency profile when compared to their fluent pairs.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.006 |
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; both teacher heads agree on what is shown here.
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".