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Record W2990996834 · doi:10.1186/s40900-019-0167-x

Move the north: evaluation of a regional stakeholder engagement initiative to support the development of a community-partnered physical activity research agenda

2019· article· en· W2990996834 on OpenAlexafffund
Chelsea Pelletier, Anne Pousette, Gloria Fox, Robin Keahey, Kirsten Ward, Guy Faulkner, Drona Rasali, Sandra Allison

Bibliographic record

VenueResearch Involvement and Engagement · 2019
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsProvincial Health Services AuthorityUniversity of ReginaPositive Living NorthUniversity of British ColumbiaUniversity of Northern British Columbia
FundersCanadian Institutes of Health ResearchPublic Health AgencyPublic Health Agency of CanadaMichael Smith Health Research BCUniversity of Northern British Columbia
KeywordsStakeholder engagementStakeholderCommunity engagementPublic relationsPolitical scienceEnvironmental resource managementEnvironmental science

Abstract

fetched live from OpenAlex

BACKGROUND: Although it is generally accepted that engaging with members of the public contributes to more actionable and relevant research, there are a limited number of reported evaluations of community engagement initiatives. Certain populations, such as those with lower socioeconomic status and those who live in rural or dispersed communities, tend to face increased barriers to engagement. For researchers and community members alike, it is important to understand and evaluate engagement initiatives to support participatory research methods, particularly when working with underserved or hard to reach populations. METHODS: Over 2-days in October 2018, we hosted a Research Agenda Development Workshop and Physical Activity Summit with relevant researchers, health professionals, and community partners. The objectives of this initiative were to develop a physical activity research agenda based on community-identified priorities, create networking opportunities, and understand factors impacting physical activity participation in communities across northern British Columbia (BC). An evaluation plan was created early in the planning process to understand the reach of the event based on representation targets. Stakeholder satisfaction with the event was evaluated with a post-meeting survey. RESULTS: The event was successful in engaging community members from a broad geographic region with at least 90 people in attendance from 11 different northern BC communities, representing 46 different organizations. Meeting attendees indicated they were satisfied with the event and felt their perspectives were heard. To advance physical activity in the region, the most commonly desired outcome from the event was the need for ongoing communication channels to support knowledge translation and capacity building in the low-resourced communities of northern BC. There were some gaps in representation targets present at the event. Namely, there were a limited number of people representing Indigenous organizations, and the education and private sectors. CONCLUSIONS: This two-day event was successful at achieving its objectives and engaged a diverse group of stakeholders from a broad geographic region. The outcomes from this event are being used to develop a community-partnered physical activity research agenda and contribute to ongoing learning by the research team to understand contextual factors influencing physical activity in the communities of northern BC. This model of engagement could be used by other researchers interested in engaging with a diverse, multi-sector group of academics, health professionals and community members to support community-centered population health research.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationalmedium
models agreeAgreement compares identical category sets and study designs across arms.

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)0.144
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1440.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.974
GPT teacher head0.737
Teacher spread0.237 · 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

Labeled directly by 2 models reading the full record.

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

Citations16
Published2019
Admission routes2
Has abstractyes

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