Bibliographic record
Abstract
Unhealthy dietary behaviours are a major threat to public health, in which the modern food-retail environment (e.g., supermarkets) have a substantial role. In recent years, there has been a growing realization that these environments are themselves the products of underlying systemic factors and dynamics, which obstruct attempts to address these environments. In this thesis we set out to explore this issue, with the objective “to acquire insight into the factors in food-retail systems which underlie the persistence of drivers of unhealthy dietary behaviours in retail food environments, and to explore how a transformation of these systems can be realized, in order to contribute to healthier dietary behaviours.” We explored this problem through a transition theory lens, in which we combined Multi-Level and Constellation Perspectives. Our research activities focussed on the Dutch context, in which we examined the SUPREME NUDGE project, which aimed to develop and trial health promotion interventions in collaboration with a Dutch supermarket chain, as a case study. Five separate studies were performed: 1) A systematic literature review method, which explored implementation barriers and facilitators and underlying systemic factors for health interventions in food-retail settings. 2) A system analysis, which combined historical literature, with semi-structured interviews on the Dutch food-retail system, to explore the dynamics and factors which promote unhealthy food-retail environments. 3) A co-creative design process in which supermarket actors took part in the development of a multi-component intervention to promote healthier diets in supermarkets. 4) A reflexive monitoring study, in which the implementation of the previously developed intervention was monitored, and used to reflect upon, and seek underlying causes of and solutions for, observed implementation issues. 5) A roadmapping study, in which representatives of relevant stakeholders for the Dutch food-retail system collaborated to decides what steps would need to be taken to realise healthier supermarket environments. These studies provided several insights: 1) Barriers for health promotion in food-retail environments are systemically embedded through a complex interplay in which landscape factors interact with strong valuations of commercial success to shape beliefs on how to achieve such success among food-retail organisations. These values and beliefs in turn lead to the establishment of various tools, metrics, processes, and systems to regulate, monitor, and evaluate whether commercial success is being achieved, resulting in various situation in which health promotion activities receive the necessary attention and resources in practice. 2) When implementing health interventions, supermarket stakeholders weigh barriers and costs against facilitators and beneficial outcomes to assess priority, which is generally given to what is perceived to provide ‘better’ commercial outcomes. This is compounded by limitations in staff, time and space at the store level. The most feasible interventions seemed to be those which were highly integrated in routine processes, systems, and practices, or required little resources. 3) The major bottleneck in realising healthier food-retail environment is the lack of systemic incentives to make practical changes. Furthermore, it seems that cultivating societal pressure is vital to motivating the relevant stakeholders to instigate such incentives, which poses a challenge in itself.
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 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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.129 | 0.027 |
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".