Commercial Property Cycles and Sub-market Emergence in Selected Canadian Cities.
Bibliographic record
Abstract
The research examines office property markets cycles in four Canadian cities - Calgary, Edmonton, Vancouver and Toronto. Each of the four cities has a different economic base and, as a result, have potentially significantly different commercial property development and investment cycles. The analysis examines cycles in annual office building construction in each market on a building by building basis over the past 100 years. The analysis of investment cycles is based on office building sales transactions and quarterly market rent data over the past 20 to 25 years. The four cities are shown to be rarely in the same phase of a development/investment cycle. There are significant differences in the primary office and industrial user groups that shape these markets and affect market cycles. The same major investment firms, pension funds and REITs, seek large office and industrial properties in all four cities as each progress through a complete development and investment cycle. However, each market also has a significant component of regional and local investors. The role of property market cycles in the emergence and changes in office sub-markets is also examined.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".