Evaluating Consumer Preferences for Organic Food Production Standards
Bibliographic record
Abstract
In 21st century agriculture, standards are increasingly used to define new food products, such as organic food and fair trade. In some cases these standards are privately determined but in other cases they have been established by governments. Indeed, the Government of Canada recently announced its organic food regulations. A key dimension of the policy process involves choosing which standards are to be used to govern the production of organic food. Unfortunately, decision makers faced with these choices know very little about how the public values the various standards that could be used to define organic. This study evaluates Canadian consumers' preferences for different organic standards. Standards pertaining to pesticide‐residue testing, product origin specifications, the standard setting agency, and standard monitoring agency are evaluated using a conjoint method. Key results suggest that consumers place a high value on a pesticide standard that involves regular testing of the end product and that they prefer an organic food standard to include a rule that limits where the good is produced. En agriculture en ce 21e siècle, des normes sont de plus en plus utilisées pour définir de nouveaux produits alimentaires tels que les aliments biologiques et les aliments issus du commerce équitable. Dans certains cas, ces normes sont établies par des organismes privés, et dans d'autres cas, elles sont établies par les gouvernements. Dernièrement, le gouvernement du Canada a annoncé son Règlement sur les produits biologiques. Un élément clé du processus d'élaboration des politiques consiste à choisir les normes qui s'appliqueront à la production d'aliments biologiques. Malheureusement, les décideurs à qui reviennent ces choix en savent très peu sur les valeurs que le public accorde aux diverses normes qui pourraient être utilisées pour définir le terme «biologique». La présente étude évalue les préférences des consommateurs canadiens concernant les diverses normes sur les produits biologiques. Les normes sur l'analyse des résidus de pesticides, les spécifications sur l'origine du produit, les organismes de normalisation et les organismes de surveillance sont évaluées à l'aide d'une méthode conjointe. Les résultats fondamentaux montrent que les consommateurs accordent une grande importance à une norme sur les pesticides qui exige des analyses régulières du produit final et qu'ils préfèrent une norme sur les aliments biologiques qui inclut un règlement sur l'origine du produit.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".