Bibliographic record
Abstract
The newest addition to the spate of recent theories of comparative corporate governance is Corporate Governance in the Common-Law World: The Political Foundations of Shareholder Power, an important new book by Christopher Bruner. Focusing on the U.S., the U.K., Canada and Australia, Bruner argues that the robustness of the country’s social welfare system is the key determinant of the extent to which its corporate governance is shareholder-centered. This explains why corporate governance is so shareholder-oriented in the United Kingdom, which has universal healthcare and generous unemployment benefits, while shareholders’ powers are more attenuated in the United States, with its much weaker social welfare protections. Canada and Australia fall in between but closer to the U.K. After describing Bruner’s theory and evidence in the first part of this Essay, I poke at it from several angles in the three parts that follow. In Part II, I consider whether there is a mechanism that adequately explains the connection between social welfare and shareholder orientation; interestingly, despite the book’s title, Bruner does not suggest that the common law plays any particular role. In Part III, I consider whether shareholders in the United States may have more power than their limited formal rights suggest, and in Part IV I ask whether the United States (rather than the United Kingdom, as is conventionally assumed) may simply be an outlier, due to federalism and other factors and as reflected in the U.S.’s weak social welfare system. I then conclude.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.036 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".