Translation and cross-cultural adaptation of the mixed methods appraisal tool to the brazilian context
Bibliographic record
Abstract
Objective: Transculturally translate and adapt the Mixed Methods Appraisal Tool to the Brazilian reality. Methods: The methodology followed the 10 steps determined by the transcultural translation and adaptation process conducted by one of the Working Groups of the Special Interest Group on Quality of Life and the Cultural Translation and Adaptation Group. Results: o The test with the instrument was carried out from the development of two systematic systematic reviews. The translated version obtained a strong / substantial Kappa coefficient (k = 0.67), and was titled "Method of evaluating the quality of researches with mixed methods - Version 2011". The produced version presents structural and semantic components compatible with those of the original version, allowing good understanding and brings clarity in its content. Conclusion: the translated and adapted instrument can be an important tool for scientific production in Brazil, optimizing the production of systematic reviews in the different areas of knowledge.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".