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Record W1998003247 · doi:10.1080/01490400802686045

Association of Parkland Proximity with Neighborhood and Park-based Physical Activity: Variations by Gender and Age

2009· article· en· W1998003247 on OpenAlexaffabout
Andrew T. Kaczynski, Luke R. Potwarka, Bryan Smale, Mark E. Havitz

Bibliographic record

VenueLeisure Sciences · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAssociation (psychology)Physical activityEconomic geographyGeographyDemographyPsychologySociologyMedicinePhysical medicine and rehabilitation

Abstract

fetched live from OpenAlex

This study examined how the number and total size of neighborhood parks within 1 kilometer (km) of participants' homes, as well as distance to the closest park, were associated with moderate-to-strenuous physical activity (MSPA) in three contexts: total, neighborhood-based, and park-based. Data were collected from 384 adults in a Canadian city. Each additional hectare of park area within 1 km increased the odds of participating in 150 or more minutes of total MSPA by 2% and each additional park increased the odds of participating in 150 or more minutes of neighborhood-based MSPA by 17% (p < .05). Living near more parks and parkland showed more positive relationships with activity among women than men, and among younger (18 to 34 years) and older (55+ years) 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.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.090
Threshold uncertainty score0.178

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.291
Teacher spread0.271 · 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 designObservational
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

Citations305
Published2009
Admission routes2
Has abstractyes

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