Apresentando um instrumento de avaliação da comunicação à Fonoaudiologia Brasileira: Bateria MAC
Bibliographic record
Abstract
BACKGROUND: an assessment instrument to evaluate communication impairment after right brain damage: the Montreal Communication Evaluation Battery, an adapted brazilian version of the original canadian instrument--Protocole Montréal d'Evaluation de la Communication. Instruments that evaluate discursive, pragmatic, lexical-semantic and prosodic impairments are important for the diagnosis of communication disorders which are present in approximately 50% of the individuals with right brain damage. Systematic studies of the communication profile after lesions on this side of the brain have been carried out only during the last two decades. AIM: to present the Montreal Communication Evaluation Battery to brazilian speech therapists. CONCLUSION: the described instrument is an useful tool in the clinic for assessing four processes related to the communicative and linguistic abilities: discursive, pragmatic-inferential, lexical-semantic and prosodic components. It is has been normalized, validated and its reliability has been confirmed. Although this instrument was developed and adapted for diagnosing communication disorders in individuals with right brain damage people, it can also be helpful in investigating communication sequels in traumatic brain injury, dementia, bilateral frontal lesions, left-brain damage, psychopathologies, such as schizophrenia, among others.
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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 | 0.008 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".