Designing for Complexity: A Systemic Approach to Spatial Relationships in High Density Housing
Bibliographic record
Abstract
The functionalism and reductivism behind post war modernist high-rise housing typologies like the slab block, failed to understand the impact of this highly condensed circulation on the social interactions of residents. Contemporary high-rise architecture typologies like the point tower still don’t account for the complex social needs of inhabitants - providing isolated group activity spaces in lieu of addressing and elaborating the shape and form of the transitional spaces between the street and the unit door. This thesis asserts that understanding the complexity of social needs and normative social behavioral patterns will inform an approach to design that will allow for a more humane and socially interactive environment. This thesis design explores Systems Theory, Pattern Language, recent precedents and tactics like clustering, layered gradients of privacy, visual buffering, transparency, texture and materiality in a high-density residential design for Toronto’s rapidly intensifying core.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.033 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".