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Record W2172279797 · doi:10.1017/s0714980810000516

Transportation Use in Community-Dwelling Older Adults: Association with Participation and Leisure Activities

2010· article· fr· W2172279797 on OpenAlex
Noémi Dahan‐Oliel, Barbara Mazer, Isabelle Gélinas, Bonnie Dobbs, Hélène Lefebvre

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2010
Typearticle
Languagefr
FieldHealth Professions
TopicOlder Adults Driving Studies
Canadian institutionsMcGill UniversityUniversité de MontréalUniversity of AlbertaCentre for Interdisciplinary Research in Rehabilitation
Fundersnot available
KeywordsPublic transportGerontologyTravel behaviorChartAssociation (psychology)Mode (computer interface)Transport engineeringPsychologyEnvironmental healthMedicineEngineeringComputer science

Abstract

fetched live from OpenAlex

This article presents a study that compared participation by elderly individuals living in the community according to primary transportation mode used, and estimated the association between transportation, personal factors, and environmental factors. Participants included 90 adults aged 65 and older (M=76.3 years; SD=7.7). They were classified according to their primary transportation mode: driver, passenger, public transport user, walk, or adapted transport/taxi user. Participation was measured with the Craig Handicap Assessment and Reporting Technique (CHART) and the Nottingham Leisure Questionnaire (NLQ). Overall, results indicated that drivers, public transport users, and walkers had higher participation levels compared to passengers and adapted transport/taxi users. This study suggests that clinicians should consider older adults' use of transportation in an attempt to encourage and maximize their participation.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.642
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.005
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.275
Teacher spread0.256 · 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