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Record W1751047225

Corporate Governance and Social Welfare in the Common Law World

2014· article· en· W1751047225 on OpenAlexaboutno aff
David A. Skeel

Bibliographic record

VenueeYLS (Yale Law School) · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate governanceShareholderCorporate lawPolitical scienceWelfare stateLaw and economicsShareholder primacyPoliticsCorporate social responsibilityShareholder resolutionEconomicsPolitical economyAccountingLawFinance
DOInot available

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.734
Threshold uncertainty score0.882

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.021
GPT teacher head0.215
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2014
Admission routes1
Has abstractyes

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