The Role of Lawyers in Corporate Promotion and Management: A Canadian Case Study and Theoretical Speculations
Bibliographic record
Abstract
promoters, financiers, and managers of new industrial enterprises during the first Canadian merger wave of 1909-1912. They were also corporate lawyers, part of an emerging group of specialists who were actively involved in the rise of big business. As documented elsewhere, the members of the Toronto law firm of Blake, Lash & Cassels performed a similar role during the Canadian investment boom in Latin American and Caribbean utility operations before the First World War [3, 22]. Other lawyers, such as J.N. Greenshields of Montreal and the members of the Thomson, Tilley & Johnston firm of Toronto, also were engaged in the creation of big business in Canada and foreign utility operations after the turn of the century [5, 24]. This accords with fragmentary evidence available concerning the changing role of American lawyers during industrialization, in particular their activities during the consolidation waves at the end of the nineteenth
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".