Community, conversation and tourism: safeguarding French-speaking Red River Métis cultural heritage through hospitality design
Bibliographic record
Abstract
Cultural diversity plays a vital role in enriching the world, fostering curiosity, facilitating learning, promoting well-being, and driving personal development. However, the advent of modernization, prevailing trends, virtual networks, and mass tourism pose a threat to cultural diversity, eroding unique identities and local cultures. This Master of Interior Design practicum project focuses on acknowledging, safeguarding, and providing a meaningful space for the French-speaking Red River Métis Nation. The project seeks to address the question: “How can hospitality design contribute to a stronger sense of identity and spirit of place for the French-speaking Red River Métis?”. By exploring the hospitality industry and designing a cultural hub in St Boniface, including a hostel, restaurant, and gathering spaces, the project proposes repurposing the historic Kiewel Brewery building at 690 St Joseph Street, Winnipeg, as a gesture of reclamation and cultural revitalization. Utilizing methodologies including visual essays, literary analysis, precedent studies, and assessments of both site and building, the project conscientiously fosters a sense of place that embraces the surrounding community, promoting cultural understanding and appreciation. Le Fil Rouge draws inspiration from Phenomenology, and concepts such as sense of identity, spirit of place, adaptive reuse, decolonization, and sustainable tourism to showcase the value of hospitality design in fostering connections, instilling value, and immersing the community, locals, and tourists in the local culture and land. Subsequently, the research highlights the importance of decolonizing architecture and the transformative potential of hospitality design in creating spaces that honour and celebrate the cultural heritage of communities, ensuring their representation and vitality in the built environment. The project emphasizes the importance of recognizing, honouring, and preserving cultural diversity to create more inclusive, valid, and resilient societies.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".