Against the Odds: The Survival of Traditional Food Knowledge in a Rural Alberta Community
Bibliographic record
Abstract
The globalization and industrialization of the agri-food system has been linked to declining knowledge and skills in the general population related to growing, preserving and cooking food. In rural communities, loss of this knowledge and associated culture and traditions has been further exacerbated by depopulation due to outmigration and the subsequent erosion of social and physical infrastructure. Counter to this trend of food deskilling, however, are the efforts of individuals who are actively working to maintain and perpetuate traditional food practices. The purpose of this research was to understand what factors motivate and enable the preservation of gardening, cooking and canning skills among a group of women and their children in a small rural community in Alberta. Qualitative research methods were used to gather relevant data, which were analyzed using a social practice theoretical lens. Findings from this study revealed four conditions influencing the continuation of these social practices among the research participants: the experience and history of scarcity; normative expectations; a close connection to family; and, development of a community of practice. This study illustrates the relevance of a social practice framework for examining food knowledge and skills, and points to the potential of this approach for understanding and promoting pro-environmental behaviour and sustainable consumption in the food system.
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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 | 0.001 | 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 | 0.001 | 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".