Origins of the Asymmetric Society: Freedom of Incorporation in the Early United States and Canada
Bibliographic record
Abstract
This article explores the origins of a phenomenon of lasting and profound impact on American society: the private business corporation. Business is only part of our concern here, however. Seen in comparative-historical terms, the modern private corporation was born in colonial (i.e. pre-Revolutionary) America. Surprisingly, this occurred not only because of the business needs of colonial Americans but also as a result of their own struggles for political autonomy. More specifically, the post-Revolutionary doctrine of freedom of incorporation first emerged in states that were originally chartered as private corporations. These “corporate colonies’” experienced repeated conflict with the Crown over their rights and privileges as corporations. Once re-chartered as independent states, their respective legislatures transformed constituents’ relationship to the means of incorporation in such a way that would lead to lasting changes in American social, civil, and economic life. Quantitative data on the history of post-Revolutionary incorporation rates in the American states, as well as the early banking industries in the United States and Canada, are offered as illustration of this phenomenon. Concluding remarks are made about the interdependent development of states and markets, particularly in post-colonial nations, as well as the nature of institutional-legal transformation more generally.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.026 | 0.019 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".