Do stakeholders’ values support transformative change in the food system? Evidence from the Netherlands
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
Research in the sustainability sciences often emphasizes values and value change as important drivers of sustainability transformations. Drawing from conceptualizations of values developed in environmental psychology and the environmental social sciences, this study offers a survey-based examination of values among stakeholders involved in or close to policymaking processes. The empirical context is the Dutch agri-food system – a hotspot of biodiversity loss, water pollution, greenhouse-gas emissions, and challenges to human and animal health. Based on a survey fielded among stakeholders, including public institutions, researchers, consultancy firms, agribusinesses, and others (n = 174), we investigated the prevalence of environmental and food-system values. Moreover, we asked how food-system values are related to stakeholders’ views on transformative change. Our analysis yields three insights. First, biospheric and altruistic values, often considered in the literature as backbones of a socially and environmentally sustainable food system, were quite strongly endorsed among the surveyed stakeholders. By contrast, egoistic values, which revolve around the cost-benefit calculus of different courses of action irrespective of their environmental or social consequences, received comparatively less endorsement. Second, stakeholders expressed strong agreement with food-system values emphasizing health and community aspects, food and nutrition as a global public good, and ecological and animal-free agriculture, but were less favorable toward values emphasizing technology and markets. Finally, using regression analysis, we show that stakeholders’ food-system values help explain the degree to which they perceive a need for change, and the extent to which they support public policies to make the agri-food system more sustainable.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it