Rural Food and Wine Tourism in Canada’s South Okanagan Valley: Transformations for Food Sovereignty?
Bibliographic record
Abstract
This interdisciplinary research analyses the relationships between food sovereignty principles and food and wine tourism in rural contexts by asking how rural tourism stakeholders understand these concepts, mobilize the interrelationships, and to what purpose. Wine and food tourism is one of the fastest-growing rural tourism niches, with effects on the orientation of food systems, the livelihoods of producers, the viability of rural communities, and the biophysical environment. Secondary research and semi-structured interviews provide insights into how qualities of food sovereignty transitions are conceptualized, recognized, developed, supported, and promoted in the case of British Columbia’s South Okanagan Valley. An appreciative approach was used because this research aims to understand rural food and wine tourism’s potential contribution to food sovereignty. Although the term ‘food sovereignty’ did not resonate for most participants, qualities of a transition towards food sovereignty such as reorienting agriculture, food processing and consumption to the local region, supporting rural economies and environmental sustainability were considered integral to rural food tourism. Participants saw future opportunities for rural food and wine tourism to serve broader transformative purposes that would benefit locals, visitors, and the environment. Research results could be used to inspire critical academic, community and policy dialogue about food sovereignty in wine and food tourism destinations.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".