Understanding consumer choices for Ontario produce
Bibliographic record
Abstract
Abstract Research has demonstrated growing public interest in local food and that this interest is driven by a number of factors including supporting local farmers, reducing the distance food travels, sustaining the environment, and food safety and quality. However, there has been very little research relating factors to actual purchase behavior. This study begins to fill that gap by relating consumer beliefs and values toward local foods with activities that support local foods as well as the actual purchase behavior for 22 fresh produce items. Data were collected through an Ontario-wide, web-based survey that is part of a longitudinal panel regarding food issues. Results from 1879 completed surveys indicated consumers had positive perceptions of local food and felt responsible for buying local, but also experienced barriers when trying to do so. Positive perceptions toward local food and a greater sense of personal responsibility to buy local were positively associated and higher barriers negatively associated with the likelihood of engaging in activities related to supporting local food as well as buying fresh produce items that were produced in Ontario. Implications of these findings are discussed in the context that consumers seem to have an overall orientation or schema to buying local in general, rather than a highly specific schema directed to one or a few particular products.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".