The view beyond downtown luxury towers: Diversity of condominium developments in a contemporary mid‐sized city
Bibliographic record
Abstract
A proliferation of condominiums is fundamentally changing the built, social, and economic fabric of Canada's cities. While developments may be found throughout the urban landscape of cities large and small, most of the contemporary research focuses on luxury towers in the urban cores of Toronto and Vancouver. The following study examines the complete inventory of all condominium units in Halifax, Nova Scotia, revealing spatial and temporal patterns in their development. Nearly 60% of Halifax's condominium units are found in the suburbs, with only 20% in the downtown. Condominium units built since 2010 command the highest prices, surpassing the median single detached house price in the city, while older units from the 1970s and 1980s remain largely affordable. Recent developments can be found in gentrifying neighbourhoods; however, they remain a minority as many more units are found in middle‐class suburbs and wealthy inner‐city neighbourhoods. Owing to their varied manifestations, the predominant associations of condominiums with a downtown, luxury housing format needs expanding to include locations throughout the metropolitan area, distinct building types, and wide range of prices.
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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 | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".