Guerra en América: cuando la muerte de un terrorista es un casus belli
Bibliographic record
Abstract
This study aims to adapt and validate the Spanish version of the Osteoarthritis Knee and Hip Quality of Life (OAKHQOL) questionnaire. The OAKHQOL was adapted into Spanish using a forward-backward translation methodology. The Spanish version was then validated in a prospective, mixed-design study of 759 patients with hip or knee osteoarthritis (OA). Patients completed the OAKHQOL, Short Form 36 (SF-36), Western Ontario and McMaster Universities Osteoarthritis Index, and the EQ-5D. The internal consistency was evaluated using Cronbach's alpha. Convergent validity was assessed by examining correlations between the OAKHQOL and other patient-reported instruments; known groups' validity was assessed by determining the capacity of the OAKHQOL to discriminate between patients with different levels of disease severity measured using the Lequesne Index. Test-retest reliability was evaluated by calculating the intraclass correlation coefficient (ICC) for all OAKHQOL domains in 409 stable patients with OA. Responsiveness was evaluated by calculating effect sizes among 129 patients undergoing hip or knee replacement. Cronbach's alpha for the five domains of the OAKHQOL ranged from 0.60 to 0.93 while ICCs ranged from 0.75 to 0.81 for all domains except the two social domains. Statistically significant differences (p < 0.001) were observed between patients with different degrees of disease severity on all domains except "social support". The instrument showed convergent validity among hypothesized domains (p < 0.001). Results of the study supported that the Spanish version OAKHQOL questionnaire was a valid instrument to measure health-related quality of life in patients with OA of the lower limb.
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.
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 | 0.001 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".