Reconnecting community: combating loneliness through coliving, place attachment, and adaptive reuse in Winnipeg's Exchange District
Bibliographic record
Abstract
This Master of Interior Design practicum proposes the design of a mixed-use coliving community in Winnipeg’s Exchange District as a means to reduce the occurrence of feelings of loneliness among city residents and promote post-pandemic downtown revitalization. Loneliness is one of the greatest public health challenges of the present time. This rising prevalence of loneliness comes at a time when people are living increasingly individualistic lives. Although being alone does not always equate to loneliness, research indicates that loneliness prominently correlates with single-person households, which have become the most common household type in Canada. The project reveals the risks loneliness poses to the health and wellbeing of both people and cities alike while exploring how concepts related to social capital, place attachment, and adaptive reuse can be translated into interior design strategies to encourage social connection and foster the feelings of community. The adaptive reuse of the Daylite Building, located at 296 McDermot Avenue/73 Princess Street, is proposed. Ultimately, the literary, precedent, and site and building analysis findings inform the project’s design programming and interior design strategies. Through the amalgamation of home, work, and third place, the design of the proposed coliving space explores the use of shared living space to foster a sense of community, encourage downtown living in Winnipeg, and support our inherent need for human connection.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".