Purchase Drivers of Canadian Consumers of Local and Organic Produce
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In recent years, the new trend for local and organic produce has transformed the landscape of fruit and vegetable purchasing. To this effect, “local” and “organic” logos have become the norm in many retail outlets. To examine the effects of different “local” and “organic” logos on Canadian consumers, a consumer survey was used to identify preferences for various external attributes and to identify consumer segments within the buyers of both local and organic purchasers. Our results indicate that the “Foodland Ontario” logo has the largest effect on likelihood of purchase and also increases willingness to pay within the overall sample. Furthermore, there are gender, region, and income differences associated with the likelihood of purchase and willingness to pay given various logos. Through this study, three consumer segments were identified, “Confident in Produce Produced in Ontario,” “In Organic We Trust,” and “Socially Responsible Locavores,” each of which has their own preferences for external characteristics.
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.
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 | 0.001 |
| 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 it