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Record W2346284892 · doi:10.1177/1757975915622950

Sustaining health education research programs in Aboriginal communities

2016· article· en· W2346284892 on OpenAlex
Katherine Wisener, Jennifer D. Shapka, Sandra Jarvis-Selinger

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

VenueGlobal Health Promotion · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsChampionSustainabilityPsychological interventionStakeholderCapacity buildingPublic relationsContext (archaeology)Stakeholder engagementCommunity engagementPolitical scienceBusinessNursingMedicineGeography

Abstract

fetched live from OpenAlex

Despite evidence supporting the ongoing provision of health education interventions in First Nations communities, there is a paucity of research that specifically addresses how these programs should be designed to ensure sustainability and long-term effects. Using a Community-Based Research approach, a collective case study was completed with three Canadian First Nations communities to address the following research question: What factors are related to sustainable health education programs, and how do they contribute to and/or inhibit program success in an Aboriginal context? Semi-structured interviews and a sharing circle were completed with 19 participants, including members of community leadership, external partners, and program staff and users. Seven factors were identified to either promote or inhibit program sustainability, including: 1) community uptake; 2) environmental factors; 3) stakeholder awareness and support; 4) presence of a champion; 5) availability of funding; 6) fit and flexibility; and 7) capacity and capacity building. Each factor is provided with a working definition, influential moderators, and key evaluation questions. This study is grounded in, and builds on existing research, and can be used by First Nations communities and universities to support effective sustainability planning for community-based health education interventions.

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)0.021
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.580
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.762
GPT teacher head0.767
Teacher spread0.005 · 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