Bibliographic record
Abstract
This thesis explores how Hong Kong Canadians remember, inhabit, and imagine their homes to develop a process for positioning transnational belonging within the built environment. In response to discriminatory migration and zoning policies, historic migration from Hong Kong formed built networks of belonging and agency within Canada’s cities and suburbs that have been largely overlooked by Western architectural scholarship. A Home Then, A Home Now connects the past and present homes of five people who moved from Hong Kong to Canada between 1955–1975, to identify embedded material elements, transnational routines, and memories that relate to histories of migration. Drawing from migration scholarship and participatory methods, I worked back and forth with participants through a series of phone interviews to collaboratively draw their childhood homes and imagine changes to their current homes. We annotated these plan and perspective drawings with lived experiences that navigate spatial purpose, transnational networks, and Hong Kong Canadian identity. By generating spatial knowledge from unheard voices, this research records “other” histories to question dominant forms of architectural history, representation, discourse, and design. This process exemplifies how design disciplines can learn from everyday sites of diasporic memory to better record and imagine home in a rapidly globalizing world.
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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 | 0.001 |
| Science and technology studies | 0.014 | 0.007 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".