Re-framing mobility in older adults: an adapted comprehensive conceptual framework
Bibliographic record
Abstract
Although there is widespread acceptance regarding the importance of mobility in older adults, there have been few attempts to bridge disciplines and move beyond the predominant focus on functional aspects of mobility. In this article, we present an adapted mobility framework with the goal of continued development to acknowledge the subjective and temporal elements of movement in order to comprehensively conceptualize mobility. The adapted framework of mobility offers a physiological, subjective, contextual and temporal approach, that provides a more comprehensive conceptualization of the nature and processes of older adults’ mobility. The use of a sliding scale in our framework reveals the dynamic, fluid and experiential nature of mobility by analyzing factors within and between people and their environments, over time. Adopting this framework reframes how mobility can be conceptualized and approached across a potential range of users and user groups. Our framework presents theoretical concepts that can be transported and tested in research studies. Our framework can also be used in clinical or community settings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.004 | 0.010 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".