Perception versus Reality: Canadian Consumer Views of Local and Organic
Bibliographic record
Abstract
During the past decade, Canadian consumers have developed a keen interest in local and organic foods. In response, the Canadian government established standards to regulate their labeling. However, many retail and media outlets offer varying definitions that fit their needs. Consumers utilize this often conflicting information to formulate their understanding of local and organic. The aim of this study was to investigate consumer understanding and perception of local and organic food, especially in regard to production characteristics. The results indicate that local is predominantly defined as decreased miles to transport, whereas organic is defined as food produced without the use of synthetic pesticides. However, a fairly large percentage of consumers perceive inaccurate definitions as being characteristics of local and organic. Furthermore, consumers with accurate definitions of local and organic share a similar consumer profile, while consumers with misguided perceptions do not. We also see that characteristics such as ethnic heritage, personal characteristics, geographic region, and length of stay in Canada not only influence consumer understanding and perception, but also the geographic boundaries associated with local.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".