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Record W2912899577 · doi:10.1080/2159676x.2019.1575269

Re-framing mobility in older adults: an adapted comprehensive conceptual framework

2019· article· en· W2912899577 on OpenAlexafffund
Thea Franke, Joanie Sims‐Gould, Habib Chaudhury, Meghan Winters, Heather McKay

Bibliographic record

VenueQualitative Research in Sport Exercise and Health · 2019
Typearticle
Languageen
FieldHealth Professions
TopicOlder Adults Driving Studies
Canadian institutionsSimon Fraser UniversityUniversity of British Columbia
FundersCanadian Institutes of Health ResearchSimon Fraser UniversityWorld Health Organization
KeywordsConceptualizationConceptual frameworkFraming (construction)Experiential learningPsychologyComputer scienceSociologyArtificial intelligenceEngineeringSocial sciencePedagogy

Abstract

fetched live from OpenAlex

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.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0030.012
Scholarly communication0.0040.010
Open science0.0020.007
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.265
GPT teacher head0.582
Teacher spread0.317 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations23
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueQualitative Research in Sport Exercise and HealthSame topicOlder Adults Driving StudiesFrench-language works237,207