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Record W2139443671 · doi:10.1186/1479-5868-6-86

ParticipACTION: Baseline assessment of the 'new ParticipACTION': A quantitative survey of Canadian organizational awareness and capacity

2009· article· en· W2139443671 on OpenAlexafffundabout
Ronald C. Plotnikoff, Ivan Todosijczuk, Guy Faulkner, Michael A. Pickering, Susan Cragg, Karen Chad, John C. Spence, Mark S. Tremblay, Cora L. Craig, Adrian Bauman, Larry Brawley, Lise Gauvin

Bibliographic record

VenueInternational Journal of Behavioral Nutrition and Physical Activity · 2009
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsChildren's Hospital of Eastern OntarioCanadian Fitness and Lifestyle Research InstituteUniversity of TorontoUniversité de MontréalUniversity of SaskatchewanUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsMandateBaseline (sea)RecreationGovernment (linguistics)Capacity buildingDescriptive statisticsPublic relationsOrganizational commitmentBusinessMarketingPolitical scienceEconomicsEconomic growth

Abstract

fetched live from OpenAlex

BACKGROUND: ParticipACTION is a Canadian physical activity (PA) communications and social marketing organization that was relaunched in 2007 after a six-year hiatus. This study assesses the baseline awareness and capacity of Canadian organizations that promote physical activity, to adopt, implement and promote ParticipACTION's physical activity campaign. The three objectives were: (1) to determine organizational awareness of both the 'original' and 'new' ParticipACTION; (2) to report baseline levels of three organizational capacity domains (i.e., to adopt, implement and externally promote physical activity initiatives); and, (3) to explore potential differences in those domains based on organizational size, sector and primary mandate. METHODS: Organizations at local, provincial/territorial, and national levels were sent an invitation via email prior to the official launch of ParticipACTION to complete an on-line survey. The survey assessed their organization's capacity to adopt, implement and externally promote a new physical activity campaign within their organizational mandates. Descriptive statistics were employed to address the first two study objectives. A series of one-way analysis of variance were conducted to examine the third objective. RESULTS: The response rate was 29.7% (268/902). The majority of responding organizations had over 40 employees and had operated for over 10 years. Education was the most common primary mandate, followed by sport and recreation. Organizations were evenly distributed between government and not-for-profits. Approximately 96% of respondents had heard of the 'original' ParticipACTION while 54.6% had heard of the 'new' ParticipACTION (Objective 1). Findings indicate good organizational capacity in Canada to promote physical activity (Objective 2) based on reported means of approximately 4.0 (on 5-point scales) for capacity to adopt, implement, and externally promote new physical activity campaigns. Capacity to adopt new physical activity campaigns differed by organizational sector and mandate, and capacity to implement differed by organizational mandate (Objective 3). CONCLUSION: At baseline, and without specific details of the campaign, respondents believe they have good capacity to work with ParticipACTION. ParticipACTION may do well to capitalize on the existing strong organizational capacity components of leadership, infrastructure and 'will' of national organizations to facilitate the success of its future campaigns.

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)0.006
metaresearch head score (Gemma)0.009
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 score0.055
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.181
GPT teacher head0.444
Teacher spread0.264 · 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

Citations19
Published2009
Admission routes3
Has abstractyes

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