The Weft House: A Transitional Housing Program to Empower Afghan Refugees in Canada.
Bibliographic record
Abstract
According to the United Nations High Commissioner for Refugees, the number of \nforcibly displaced people is growing yearly. These people flee their country due to war, \nviolence, persecution, famine, and other life-threatening reasons. Most of the refugees \narrive in the host country with a traumatizing background and with a high need for \nsupport to cure their mental and physical crises, learn the culture and language of \nthe host country, build a community and integrate into the new society, and most \nimportantly to find proper and affordable housing. \nAs a country with a high refugee acceptance rate, Canada has many homeless people, \nespecially in its big cities like Toronto. Although programs and facilities like transitional \nhousing are available for homeless people, such facilities for vulnerable groups like \nrefugees with their specific needs seem missing. \nThis thesis research aims to suggest a new transitional housing typology with services \nfocused on the needs and demands of the refugee communities-in this case, Afghan \nrefugees- to support them through the journey of integration into a new environment, \nease the process of finding affordable permanent housing, and help them build a \ncommunity. \nThis research includes aerial maps to analyze the intended site in Etobicoke, Canada, \ndesign drawings to illustrate the design, and images as precedents to support the \nideas behind the design.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".