MétaCan
Menu
Back to cohort
Record W2164628629 · doi:10.1177/1524839907311049

Partnering With Libraries to Promote Walking Among Community-Dwelling Adults: A Kingston Gets Active Pilot Pedometer-Lending Project

2008· article· en· W2164628629 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealth Promotion Practice · 2008
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsQueen's University
Fundersnot available
KeywordsPedometerPhysical activityHealth benefitsGerontologyPhysical therapyMedicine

Abstract

fetched live from OpenAlex

Most adults do not walk enough to obtain health benefits. Pedometers have been successfully utilized to motivate and increase walking. Given that libraries are a place where community members seek health resources, they are a logical setting for increasing community accessibility to pedometers. The purpose was to examine the feasibility of lending pedometers to library patrons to increase walking. In five Canadian public libraries, 90 pedometers were made available for 6 months. A total of 41 library patrons (33 women, 8 men, age range 18 to 65 or older) completed a survey about their walking patterns and pedometer use. More than 330 loans were made. Chisquare analysis found significant associations between walking and motivation to walk more (p < .05), walking and goal setting (p < .05), and motivation to walk more and setting a walking goal (p < .001). Results provide preliminary evidence that lending pedometers through local libraries is an effective, low-cost approach to enhance walking in community members.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0000.002
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 head0.146
GPT teacher head0.390
Teacher spread0.243 · 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