Empowering residents, building community, and fostering place: a food co-op in West Broadway Winnipeg, Manitoba
Bibliographic record
Abstract
In 2022, the rise in housing costs and grocery prices led to an increase in individuals and families seeking support from food banks. While this issue affects users in various parts of the city, it is particularly challenging for West Broadway residents in Winnipeg, Manitoba, who live in a food desert and food mirage with financial barriers and limited grocery store access. It is also important to note that while there is an increase in users utilizing food banks, the social stigma still prevents many from obtaining help. As a response to these issues, this Master of Interior Design practicum draws from the cooperative model to address food insecurity in the West Broadway neighbourhood. Specifically, the project focuses on the adaptive reuse of 164 Langside Street into The Langside Co-op to offer an alternative retail option. The project centres around the design of a food co-op that provides goods and resources that meet the budgets, needs, and interests of its residents. In doing so, the project utilizes research methodologies, including a literary analysis, precedent studies, site analysis, and a visual essay. Further, it draws from concepts and theories of food sovereignty, placemaking, brandscaping, and adaptive reuse to provide members with greater power and control over their food system, offer opportunities to come together and learn from each other, and create a dignified environment. Ultimately, the design outcome reflects residents’ desires for greater resources and emphasizes the importance of community, shifting the focus from asking for help to the act of caring for and supporting one another.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.016 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".