MétaCan
Menu
Back to cohort
Record W4384132760 · doi:10.1093/geroni/igad066

Engaging Nigerian Older Persons in Neighborhood Environment Assessment for Physical Activity Participation: A Citizen Science Project

2023· article· en· W4384132760 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.

Bibliographic record

VenueInnovation in Aging · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology Use by Older Adults
Canadian institutionsUniversity of Manitoba
FundersSchool of Medicine, Stanford UniversityUniversity of ManitobaRobert Wood Johnson Foundation
KeywordsPedestrianCitizen scienceBrainstormingBuilt environmentPhysical activityGeographyEnvironmental healthPublic relationsBusinessEnvironmental planningPsychologyTransport engineeringPolitical scienceEngineeringMarketingMedicineCivil engineering

Abstract

fetched live from OpenAlex

Background and Objectives: Global organizations are advocating that older persons' voices should guide communities in age-friendly design. An important aspect of age friendliness to enable daily function and health is ensuring that physical activity can occur, regardless of age, within local neighborhoods. Research Design and Methods: = 13) of older adults (60 or older) in Festac Town, Nigeria. The citizen scientists' roles were to assess and identify how different aspects of the neighborhood environment act as supports or barriers to their physical activity participation. They were individually enabled using a tablet-based mobile application called the Stanford Healthy Neighborhood Discovery Tool to record a total of 156 geocoded photos and 151 commentaries of neighborhood environmental features that facilitate or hinder physical activity in and around their neighborhoods. In a guided process, the following occurred: collaborative discussions of findings with other citizen scientists to determine common targets, setting of priority targets for change, and brainstorming strategies and solutions. Results: Facilitators of physical activity included: pedestrian and traffic facilities (e.g., traffic lights, walkways); green areas and parks; multigenerational community features (e.g., programs/facilities); opportunities for social connection (e.g., neighborhood associations, churches); safety of destinations and services; and public toilets. Barriers to physical activity included: hazardous walkways/traffic; noise pollution; refuse, selling of public parks; crime (e.g., kidnapping, criminal hideouts); no safe drinking water; and ageism. The priorities for changes were social connectivity; improved pedestrian and traffic facilities; and green and beautiful environments. Discussion and Implications: In this study, both physical and social aspects of the environment were deemed important for older Nigerians to enable physical activity in their local community. This approach has a promise for age-friendly initiatives seeking local changes by meaningfully engaging older adults.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.502
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.053
GPT teacher head0.399
Teacher spread0.345 · 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