An Architecture of Belonging: Housing New Canadians
Bibliographic record
Abstract
For hundreds of years immigrants have been coming to Canada to start life afresh in hopes of a better future. Many choose Canada because they consider this country a peaceful, tolerant and welcoming place where people and institutions are open and supportive towards cultural diversity. This perception has led many newcomers to believe that with hard work and perseverance, they can in time achieve a fulfilling life. However, the reality of everyday life for many immigrants and their families has shown that significant challenges threaten the attainment of these goals. \n \nResearch into the life of immigrants makes clear that not every newcomer is able to gain full inclusion in Canadian society. As well, not everyone arrives on equal footing. Many families arrive with few resources. These new Canadians need help not only to gain access to key necessities (i.e. housing, income, education and employment) but also to understand the countless and often perplexing new cultural experiences that await them. This group of newcomers become particularly vulnerable to falling into a downward spiral of poverty that can be difficult to escape. \n \nConsidering the fact that finding a safe and satisfying home is a critical step in smooth transitioning, it becomes important to ask how the work of architects contributes to the well-being of immigrants attempting to settle and integrate into their newly chosen home. \n \nThe thesis studies the potential of making settlement easier by proposing an architecture of belonging. The goal is to create a welcoming place for newcomers that supports both a robust communal life and responds to everyday needs. The positive momentum of inclusive community building further fosters a strong neighbourly bond among residents of all cultures and beliefs, which in turn strengthens the Canadian visions of multiculturalism. The thesis explores the design of a housing prototype that brings a neighbourhood house and housing development on the site of St. Christopher House in Toronto.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.064 | 0.019 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.027 | 0.002 |
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".