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Record W4234747740 · doi:10.1108/jfrc-07-2020-0064

Editorial

2020· editorial· en· W4234747740 on OpenAlexaff
Gary Evans

Bibliographic record

VenueJournal of Financial Regulation and Compliance · 2020
Typeeditorial
Languageen
Field
Topic
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsPolitical scienceEconomics

Abstract

fetched live from OpenAlex

Progression or regression: regulatory and governance challenges after the global financial crisis and Brexit editorial introduction Editor IntroductionIt was my pleasure to be the guest editor for the Journal of Financial Regulation and Compliance in its special report on corporate governance.Three of the articles were specifically focused on the banking sector, which continues to be at the forefront of concern by investors, regulators, shareholders and politicians.The images of too big to fail of 2007 bring concerns to all groups and questions continue to be unresolved on how to best proceed.What has become clear since 2007 is that we continue to live in a volatile-uncertain-complex-ambiguous world.As the world continues to reel from the COVID 19 virus and governments spend billions to cushion businesses and society in general, we face the stark reality of what could trigger a major recession/ depression and the potential harm that could wreak on the banking sector.As governments spend hundreds of billions to cushion workers and businesses from the pandemic, the importance of good governance needs to be at the forefront.One day the world was worried about potential rising interest rates and the next interest rate is almost zero.Questions of governance and cross-border regulations add to the need to develop more rigorous governance structures that can work within the critical sector of banking.Even with increased government spending, pressure is on the banks to increase their risk portfolios to support businesses impacted by the virus.The three authors all wrote their articles prior to the pandemic but the messages on banking reform are more important than ever.The banking sector is a complex global business.Author Jakob Schemmel in his article, "Regulating European financial markets between crisis and Brexit," addresses the combined issue of institutional framework reforms and the challenges of doing this during a UK Brexit.Schemmel provides an excellent review and summary of the complex world of the newly restructured European Supervisory Agencies and how the amendments to their powers can and will impact the banking sector including ongoing hurtles that need to be addressed.Christiane Hellstern's paper "Structural banking reforms and their implications for banks' corporate governance" looks at the practical implications that new regulations and structural reforms will have on both the industry and the boards that govern them.In her paper, Hellstern draws an intriguing link back to the regulatory separation of 1933 after the great depression.The article clearly maps out the current challenges faced by both the organizations and boards as they try and separate out complex business units.How reforms are done will impact how both boards and companies are managed and potentially who is and should be on the board.Richard Ridyard in his article, "Carrots and sticks in bank governance: time for a bigger stick?," goes beyond the regulatory issues and institutional reform and specifically addresses the role of senior management and board and shareholder accountability.Ridyard puts forward that real reform requires a change of culture and accountability that can only be

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.099
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.038
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0050.002
Science and technology studies0.0040.002
Scholarly communication0.0110.003
Open science0.0030.002
Research integrity0.0170.011
Insufficient payload (model declined to judge)0.0990.070

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 head0.023
GPT teacher head0.287
Teacher spread0.264 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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".

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Citations0
Published2020
Admission routes1
Has abstractno

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