HUMAN FREEDOM AND TWO FRIEDMEN: MUSINGS ON THE IMPLICATIONS OF GLOBALIZATION FOR THE EFFECTIVE REGULATION OF CORPORATE BEHAVIOUR
Bibliographic record
Abstract
In this essay, which was delivered as the Torys Lecture, Vice Chancellor Strine considers the implications of globalization for the effective regulation of corporate behaviour affecting interests other than those of stockholders against the backdrop of the West's political and economic experience. He concludes that consistent with prior experience, the globalization of corporate markets will require a corresponding expansion of the polity to protect those aspects of human freedom that are affected in important ways by corporate behavior. As a practical matter, this means that if the U.S. and other Western nations wish to limit the ability of corporations to generate externalities and impair rights the West has embraced as important to individuals' ability to lead the good life, they will have to give up some of their sovereignty to international institutions in exchange for regulation that is co-extensive with the sphere in which corporations conduct their activities.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.073 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.007 |
| 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".