Mind the public health leadership gap: the opportunities and challenges of engaging high-profile individuals in the public health agenda
Bibliographic record
Abstract
BACKGROUND: Public health leadership has been criticized as being ineffective. The public health profession is relatively small. Critics have argued that there is over-emphasis on technical aspects and insufficient use of the 'community as a source of public health actions'. METHODS: The paper analyses the resources, motivations and skills utilized by high-profile individuals who have made contributions to the public health agenda. The phenomenon of celebrity diplomacy is critiqued. Two exemplars are discussed: Jamie Oliver and Michael Bloomberg. The risks of involving celebrities are also considered. RESULTS: Leaders for public health demonstrate 'a paradoxical blend of personal humility and professional will' to make the 'right decisions happen'. While they may have ego or self-interest, in this context, at least, they channel their ambition for the public health cause, not themselves. CONCLUSIONS: Leaders from outside public health may have no understanding of what public health is nor consider their work as part of a wider public health agenda. It is important to understand why they become leaders for public health. This will inform a strategy for how others may be encouraged to collaborate for public health causes. Some key points for working with high-profile leaders for public health are identified.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.134 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".