Tradução e adaptação cultural à língua portuguesa do American Shoulder and Elbow Surgeons Standardized Shoulder Assessment Form (ASES) para avaliação da função do ombro
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Shoulder pain affects a significant percentage of the population. The American Shoulder and Elbow Surgeons Standardized Shoulder assessment form (ASES) is an outcome tool used to assess shoulder function, regardless of the disorder. However, at the moment the current study was undertaken, a Portuguese version of the ASES was not available. The objective of this work was to translate and make a cultural validation of the ASES to the Portuguese language. The original version of the ASES underwent the specific process of translation and cultural adaptation, comprising of the initial translation, back translation, committee, pre-test and the approval by the original author. The pre-test was applied in 20 patients with shoulder disorders (9 women, 41.1 ± 13.0 years of age, 11.2 ± 8.9 months with the disorder, and 12.5 ± 3.1 schooling years). The final Portuguese version of the ASES was established after patients considered all items of this tool comprehensible and clear, and the author of the original questionnaire considered it adequate. The results obtained with this study will help Brazilian rehabilitation professionals and researchers, since they have one more outcome measure to be applied in patients with functional disabilities of the shoulder.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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 it