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Record W1492243203

Rules v. Principles as Approaches to Financial Market Regulation

2009· article· en· W1492243203 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

VenueTSpace (University of Toronto) · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Regulation and Crises
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSet (abstract data type)Flexibility (engineering)Financial regulationCategorizationInstitutionFinancial institutionEconomicsBusinessLaw and economicsFinancial marketAccountingFinancePolitical scienceLawComputer scienceManagement
DOInot available

Abstract

fetched live from OpenAlex

As the global economic recession deepens, the structure of financial institutions and the legal principles that they apply are of primary concern to investors.One aspect of the legal debate has focused on whether financial market regulation should be based on principles or rules.Generally, principles-based regulation refers to a broad set of standards that gesture in the direction of certain desired outcomes.These standards may be accompanied by guidelines about how to achieve the outcomes.By contrast, rules-based regulation is, as the name implies, based on a set of detailed rules that govern firms' behavior.Such rules enable firms to "tick-the-box" to guarantee compliance with law.Another possibility-institution-based financial regulation-has recently been proposed by John Walsh as an alternative to rules and principles. 1 This approach appears to have two parts.First, the approach refers to offices that firms are legally mandated to establish.For example, the Securities and Exchange Commission (SEC) and the Financial Industry Regulatory Authority (FINRA) require firms to establish certain offices and structures (the "institutions" to which Walsh refers) such as the Chief Compliance Officer, compliance policies and procedures, and annual selfassessments.Second, these firms will by necessity have firm-specific modus operandi or ways of functioning.The institutional approach provides them with flexibility in terms of how the required structures evolve and operate within the organization.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.945
Threshold uncertainty score0.997

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.000

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 head0.063
GPT teacher head0.212
Teacher spread0.149 · 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