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Record W2145020895 · doi:10.1093/heapro/dap001

Six essential roles of health promotion research centres: the Atlantic Canada experience

2008· article· en· W2145020895 on OpenAlexaffabout
Lynn Langille, Sandra Crowell, Renée Lyons

Bibliographic record

VenueHealth Promotion International · 2008
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsDalhousie University
Fundersnot available
KeywordsHealth promotionPublic relationsPromotion (chess)Government (linguistics)Health policyPolitical scienceSociologyMedicinePublic healthNursingPolitics

Abstract

fetched live from OpenAlex

Over the past 20 years, the federal government and universities across Canada have directed resources towards the development of university-based health promotion research centres. Researchers at health promotion research centres in Canada have produced peer-reviewed papers and policy documents based on their work, but no publications have emerged that focus on the specific roles of the health promotion research centres themselves. The purpose of this paper is to propose a framework, based on an in-depth examination of one centre, to help identify the unique roles of health promotion research centres and to clarify the value they add to promoting health and advancing university goals. Considering the shifting federal discourse on health promotion over time and the vulnerability of social and health sciences to changes in research funding priorities, health promotion research centres in Canada and elsewhere may need to articulate their unique roles and contributions in order to maintain a critical focus on health promotion research. The authors briefly describe the Atlantic Health Promotion Research Centre (AHPRC), propose a framework that illustrates six essential roles of health promotion research centres and describe the policy contexts and challenges of health promotion research centres. The analysis of research and knowledge translation activities over 15 years at AHPRC sheds light on the roles that health promotion research centres play in applied research. The conclusion raises questions regarding the value of university-based research centres and challenges to their sustainability.

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 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)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.194
GPT teacher head0.521
Teacher spread0.327 · 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 teacher head, not a consensus.

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

Citations12
Published2008
Admission routes2
Has abstractyes

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