A City to Call Home: Revisiting the Form of the Urban Family Home in Ottawa
Bibliographic record
Abstract
While ground-breaking architectural ideas and typologies have emerged, shaped and refined domestic architecture throughout the history of modern architecture, there has been little true innovation in recent years in Canadian housing, particularly in family housing.New domestic architecture can take many forms; however, in the urban core, space limitations render the task of innovating housing forms more challenging.This is not to say that the current typologies, the condominium high-rise being dominant among them, do not work, but rather, that they are ill-suited for housing families.This thesis proposes to refine urban family housing and takes on a current Ottawa Community Housing Corporation (OCH) project, seeking to develop renewed urban housing strategies and residential intensification methodologies.As OCH's largest family-oriented social housing community, iii Rochester Heights, Ottawa, provides an ideal opportunity to re-imagine the conventional definition of urban residential housing.I would like to thank my thesis advisor, Janine Debanné for her encouragement, patience, and support.Her expertise, insight and kindness played a large part in the completion of this thesis.Her assistance in guiding me to relevant texts on Ottawa urban housing were imperative to the research into urban family housing.Finally, her assistance in helping me with finding the rights words has been greatly
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.021 | 0.015 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".