Translation, Reliability, and Validity of the French Version of the Amputee Mobility Predictor
Bibliographic record
Abstract
ABSTRACT Introduction The Amputee Mobility Predictor (AMP) is an instrument designed to evaluate ambulatory capacity with and without a prosthesis in persons with lower-limb amputation. The purpose of the study is to cross-culturally adapt and translate the AMP into French (AMP-F), and to determine the reliability and construct validity of AMP-F. Materials and Methods The AMP was translated and cross-culturally adapted to French following standardized procedures. Thereafter, the AMP-F was subjected to psychometric evaluation with 30 participants with lower-limb amputation. Each participant completed the AMP-F three times: once with each of the two raters on the day of the first evaluation (interrater reliability) and a third time at the second evaluation by one of the two raters, held within 9 days of the first (intrarater reliability). Other tests completed at the second evaluation include the Locomotor Capabilities Index questionnaire and the 6-minute walk test, administered to measure construct validity. Results The AMP-F was developed as a result of the translation process. It showed excellent intrarater (intraclass correlation coefficient [ICC] = 0.97; MDC 90 , 7.0) and interrater (ICC = 0.95; MDC 90 , 6.3) reliability. Correlations were high between the AMP-F and the 6-minute walk test ( r = 0.71) as well as the Locomotor Capabilities Index in persons with amputation ( r = 0.88). Conclusions The AMP-F is a reliable and valid instrument for the evaluation of ambulatory capacity in individuals with lower-limb amputation. The AMP-F will allow clinicians residing in a francophone country to have access to a valid and reliable instrument for the evaluation of ambulatory capacity with and without prosthesis in individuals with lower-limb amputation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".