Bibliographic record
Abstract
Bente Halkier og Lotte Holm: Trust in food: Food consumption practice Food consumption has become part of the political agenda in Denmark, in that responsibilities for environmental and similar concerns are increasingly being transferred to ordinary consumers. This article discusses how this new political agenda has influenced the every day understandings and practices as regards food consumption. It commences with a discussion of the concept of trust and its relevance to risk and handling risk in the arena of food consumption. Data come from a telephone survey carried out among a representative sample of adults in Denmark. On the one hand, Danish respondents expressed a general trust, and felt that the foods they eat are not harmful. On the other, they distrusted the safety of a list of specific but ordinary foods found on the market. In order to minimize risks, respondents employed differentiated shopping strategies, reflecting the structure of the food market. A majority of them replied that their shopping practices are influenced by concerns about health and environment, while only 8% report no concern at all about these issues. Danish consumers trusted personal networks more than either public food control systems or market mechanisms in order to procure good and safe food.
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 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".