Headquarters in Canada: An Analysis of Spatial Patterns
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Despite recent dispersal trends, headquarters activity remains disproportionately present in identifiable clusters within large North American metropolitan areas. Through nearest neighbor and spatial autocorrelation analyses, we statistically confirm the concentrating tendencies of head offices in Toronto, Montreal, Calgary and Vancouver. It is also established that head offices operating within these four metropolitan areas show collective distinctiveness in where controlled subsidiaries are located internationally and in what industrial activity is emphasized. Finally, we evaluate (via Spearman r and Kruskal-Wallis H tests) which socioeconomic census variables are linked with head office districts in Toronto and Calgary. It is suggested that head office districts will feature a relative absence of families, high-density housing, and short-distance commuting. While head office areas in Toronto, a headquarters center at the top of the Canadian hierarchy, resonate prosperity, Calgary features head office districts that are income diverging.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it