MétaCan
Menu
Back to cohort
Record W2111509496 · doi:10.1123/japa.18.3.293

Neighborhood Walkability: Older People’s Perspectives From Four Neighborhoods in Ottawa, Canada

2010· article· en· W2111509496 on OpenAlex

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Aging and Physical Activity · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsInstitute of Population and Public HealthUniversity of Ottawa
FundersCanadian Institutes of Health Research
KeywordsWalkabilityPedestrianGerontologyFocus groupOlder peoplePsychologyApplied psychologyGeographyPhysical activityMedicineSociologyPhysical medicine and rehabilitation

Abstract

fetched live from OpenAlex

This qualitative study examined older people's walking experiences in 4 Ottawa neighborhoods. Seventy-five adults age 65 years and older who had lived in their neighborhoods for at least 2 yr participated in focus groups and individual interviews. Four themes were identified through data analysis: multidimensional personal meanings, navigating hostile walking environments, experiencing ambiguity, and getting around. Neighborhood walking was experienced within the continuum of personal and environmental change. Findings indicated that the concept of pedestrian connectivity must incorporate aspects of both intersection regulation and design to ensure relevance for an aging population. Participants called for more clarity about policies that affect pedestrian safety for older people. The overarching theme of getting around indicated that walkability assessments must consider how walking fits within an integrated transportation system and how accessible this system is for older people.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.272
Threshold uncertainty score0.427

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.270
Teacher spread0.260 · 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