Exploring the intersectoral partnerships guiding Australia's dietary advice
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.
Bibliographic record
Abstract
In 1986, the Ottawa Charter alerted a new generation of health promotion practitioners to the benefits of working with the non-health sectors, including the commercial sector. Since then, the establishment of partnerships with government and non-government bodies has been advanced as a positive way of fostering policies that enhance health and well-being. The food and nutrition field has enthusiastically adopted partnerships between government, non-government and industry. In this article, we focus on the tactics employed by industry bodies to further their cause in a range of fields that are characterized by risk and contestation. We describe the nature of the alliances and interactions between commercial, scientific and government groups whose stated aim is to improve Australia's diet. Our analysis shows that these partnerships have been guided less by the ethos of the Ottawa Charter and more by the interests of the various parties: namely the food industry's need for credibility in making health claims, the financial imperatives of professional bodies and scientists whose public funding is inadequate, and government endorsement of public-private partnerships as the preferred mechanism for service delivery. The symbiotic relationship that is emerging between segments of the food industry and the nutrition professions raises questions about the independence of the dietary advice being given to consumers. We conclude by arguing for a research programme to investigate the consequences of intersectoral partnerships on the nutritional status of the population.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it