Relationships between Calling and Academic Motivation in Postsecondary Students/Rapports Entre la Vocation et la Motivation Académique Chez Les éTudiants Postsecondaires
Bibliographic record
Abstract
The Manageable Geriatric Assessment (MAGIC) questionnaire, recently developed by a group of European family doctors for multidimensional geriatric assessment in primary care, has not yet been evaluated in clinical practice. The objectives of this study were to translate and adapt it to Spanish and to check the association between the limitations of older adults identified by this questionnaire and their perceived health status assessed by the five-level version of the EuroQol-5D (EQ-5D-5L). First, questionnaire translation, back translation and cognitive test were applied. Then, a cross-sectional observational study was performed in two Spanish health centers Galicia, Spain. Participants were 170 people aged over 75, recruited opportunistically by consecutive case sampling. Anonymous surveys were used to collect data. The MAGIC questionnaire, the EQ-5D-5L scale, age and sex were employed. The visual analog scale of EQ-5D-5L (EQ VAS) was used as the outcome variable. Descriptive and bivariate analyses by sex and outcome variable are presented. The linear regression analysis showed an association with quality of life for daily activities, recognizing people and stress incontinence. As this is associated with quality of life, the MAGIC questionnaire may be useful in primary care and a study to investigate the impact on health with a clinical trial would be worth considering.
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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 | 0.004 | 0.000 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".