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Record W3215646570 · doi:10.1111/jacf.12472

MILLSTEIN CENTER‐ECGI CONFERENCE ON: Board 3.0: Bringing the Private Equity Model to Public Companies

2021· article· en· W3215646570 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of applied corporate finance · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Insolvency and Governance
Canadian institutionsImpactSmiths Detection (Canada)
Fundersnot available
KeywordsCorporate governanceEquity (law)Private equityIncentiveAccountingBusinessCorporate lawAccountabilityPrivate equity firmFinancePublic relationsPublic administrationEconomicsLawPolitical scienceMarket economy

Abstract

fetched live from OpenAlex

In a recent conference organized by Columbia Law School's Millstein Center and the European Corporate Governance Institute, law and econ scholars Jeff Gordon and Ron Gilson discuss with other academics and a remarkably varied and distinguished group of practitioners the possibility of “porting” elements of the private equity governance model to public companies to achieve what they describe as “Board 3.0.” The public company “monitoring” boards of the recent past—composed for the most part of part‐time, “thinly informed,” and “boundedly motivated” directors dependent upon corporate management for information about the company—are seen as evolving toward the “thickly informed, well‐resourced, and powerfully motivated” directors that Gordon and Gilson see as required to function more like “partners” in the business, helping steer management toward the long‐run value‐maximizing strategic and operating decisions. A number of the board members on the panel serve, or have served, on private as well as public companies. The consensus among this group was that PE boards function at higher levels than their public counterparts, accounting in significant part for the higher returns of PE. But as this group also noted, an ongoing “migration” of PE board members and practices to public companies, accomplished in part by reverse LBOs and PIPEs (private investments in public equity), is leading to more effective public company oversight and governance. Along with deeper specialized knowledge of critically important operational issues, PE directors are also said to have a comparative advantage in designing pay‐for‐performance incentives for operating managers. What's more, as one panelist pointed out, PE's need to focus on and prepare for “exit” from day one has the paradoxical effect of sharpening managerial attention on the long‐term future and the amount and kinds of investment needed to ensure it.

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.

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)0.001
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 score0.540
Threshold uncertainty score0.906

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.095
GPT teacher head0.250
Teacher spread0.155 · 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