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.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.038 | 0.008 |
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".