Bibliographic record
Abstract
This paper maps the changing network of large Canadian corporations in the half-century following the Second World War, using location of corporate head offices as a window on the geography of corporate power. In this era, the network of interlocking directorates was reshaped by several developments: consolidation of corporate headquarters in major metropolitan zones, the decline of Montreal and the increased importance of Toronto as the principal metropolis, the movement of industrial capital westward and concomitant rise of Calgary and Vancouver as corporate command centres, the nationalist politics of Quebec, which led some major corporations to defect from Montréal while nurturing a French-Canadian segment of the corporate élite, and the continuing hegemony of Toronto and Montréal in the world of corporate finance. By the close of the twentieth century, the Canadian corporate élite appeared to be well integrated across the main urban centres of économie power, across the financial and industrial forms of capital, and across the anglo-French ethnic différence. Viewed in light of related research on the élite’s reach into civil society, this pattem of spatial, sectoral and ethnie intégration presented a structural basis for strong business leadership in both economic and extra-economic fields. Whether such corporate hegemony is ultimately compatible with a democratic way of life is altogether another matter.
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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 | 0.006 |
| Science and technology studies | 0.014 | 0.007 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".