Equivalência cultural da versão brasileira do Questionnaire des Symptômes Vocaux
Bibliographic record
Abstract
PURPOSE: This article aims to present the cultural equivalence of the Brazilian version of the 'Questionnaire des Symptômes Vocaux' (QSV). METHODS: The questionnaire was translated into Portuguese by two Brazilian bilingual speech-language pathologists who were informed about the purpose of this research. The back translation was performed by a third bilingual Brazilian speech-language pathologist, who was also a French teacher and had not participated in the previous stage. After the comparison of translations, a final version of the questionnaire was produced and called 'Questionário de Sintomas Vocais Pediátrico (QSV-P)', which was administered to 32 individuals (16 children/adolescents with vocal complaints and their parents). The inclusion criterion was the vocal complaint and/or vocal quality altered on the perceptual auditory evaluation. The option "not applicable" was added to each item of the protocol. RESULTS: During the process of translation and cultural adaptation, no item was changed and/or eliminated from the questions. The QSV-P kept the same structure as the original French version with 31 questions, which can be responded by children/adolescents (6-18 years) and their parents, regarding the physical, emotional and social functioning of the vocal problem. CONCLUSION: The cultural equivalence of the Brazilian version of the 'Questionnaire des Symptômes Vocaux', entitled 'Questionário de Sintomas Vocais Pediátrico', was demonstrated. The QSV-P validation is currently being done.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.033 | 0.085 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".