Bibliographic record
Abstract
Purpose: Canada has been developing housing cooperatives as a social housing system. Through the cooperatives, Canada could guarantee the right to stable residence by providing affordable housing with non-profit characteristics. There have been architects' suggestions regarding social housing. `5468796 Architecture,` a design studio in Canada, was one of them. It considered the loss of community sense -- which arises often in contemporary society -- to be a serious problem, and it has been making several attempts to apply resolutions to collective housing. This study investigated Canada's social housing system as well as the significance and characteristics of cooperative housing. In addition, while studying the collective housing designed by 5468796 as social housing, this study investigated the spatial characteristics of Center Village through Space Syntax by focusing on the unit area and common space of Center Village. Method: This study investigated the characteristics of collective housing by 5468796 and analyzed the architectural features of Center Village in Winnipeg, Canada. For the analysis, this study secured drawings through literature review and e-mail exchanges with 5468796. Result: According to the results of analyses with J-Graph and VGA, even if the unit space of social housing is becoming small, it was found to be sufficient in realizing the purpose of a settlement environment as housing. The study also confirmed 5468796 Architecture's intent to realize a `smaller lifestyle` when designing the Center Village. he concept and implementation of housing by 5468796 will provide an important clue to Looking for diversification of our housing.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.441 | 0.210 |
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".