Brazilian transcultural adaptation of an instrument on communicative strategies of caregivers of elderly with dementia
Bibliographic record
Abstract
Communication with patients with dementia may be a difficult task for caregivers. OBJECTIVE: The aim of this study was to produce a Brazilian transcultural adaptation of an instrument developed in Canada, called the Small Communication Strategies Scale, composed of 10 items constructed from 10 communicative strategies most recurrent in a literature survey. METHODS: Drawing on understanding of the construction of the Small Communication Strategies Scale (SCSS), a Brazilian Portuguese version of the instrument was devised through the following steps: translation, back-translation and semantic-cultural adaptation by a specialized linguist in English-Portuguese translations and application of the comprehension test for the version produced in a group of caregivers of elderly individuals with dementia. RESULTS: The transcultural equivalence process was performed and two items of the SCSS needed adapting to the Brazilian context. After changes suggested by a specialized linguist, the final version was applied to 34 caregivers and the transcultural equivalence considered satisfactory. CONCLUSION: The Brazilian version of the instrument was successfully transculturally adapted for future validation and application in Brazil.
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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 | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".