The Galway Consensus Conference: international collaboration on the development of core competencies for health promotion and health education
Bibliographic record
Abstract
Developing a competent health promotion workforce is a key component of capacity building for the future and is critical to delivering on the vision, values and commitments of global health promotion. This paper reports on an international consensus meeting to identify core competencies, jointly organized by the International Union for Health Promotion and Education (IUHPE), the Society for Public Health Education (SOPHE) and the US Centers for Disease Control (CDC), with participation from international leaders in the field, that took place at the National University of Ireland, Galway, in June 2008. The purpose of the meeting is outlined and the outcomes in terms of strengthening global exchange, collaboration and common approaches to capacity building and workforce development are discussed. The Consensus Statement, based on the proceedings of the meeting, outlines core values and principles, a common definition and eight domains of core competency that are required to engage in effective health promotion practice. The core domains of competency agreed to at the meeting are: catalysing change, leadership, assessment, planning, impementation, evaluation, advocacy and partnerships. A summary of the Consensus Statement is presented and further dialogue and discussion are invited in order to continue the process of building international consensus with regard to health promotion core competencies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.124 | 0.083 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.008 | 0.022 |
| Research integrity | 0.018 | 0.019 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".