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Record W7095721540

Structure, Principles and Effectiveness of Insurance Regulation in the 21st Century: Insights from Canada

2016· article· en· W7095721540 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicBody Contouring and Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsSolvencyEx-anteFinancial crisisInvestment (military)Financial regulationRisk managementPrudential regulationFinancial riskFinancial services
DOInot available

Abstract

fetched live from OpenAlex

The 2007–2009 financial crisis resulted in failures of many large financial institutions and among the G8 countries, only Canada did not have to provide financial support to distressed financial institutions. We first examine the existing Canadian regulatory architecture in relationship to underlying principles arising from the public theory of regulation. Elements of the Canadian regulatory framework that contributed to the success of the insurance industry in weathering the crisis include the presence of a federal regulator who monitors system-wide issues also ensures consistent solvency standards; investment guidelines that encourage prudent risk-taking; and a holistic approach to insurer monitoring. A comparison of the Canadian experience with that of other jurisdictions highlights the importance of a holistic risk management approach to firm viability, especially in light of the inherent risks arising from complex group structures. A lesson from the crisis is the need for effective ex ante and ex post cross-border and holistic supervision as most distressed institutions belonged to large complex groups operating in multiple regulatory jurisdictions.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.809

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)0.0000.000

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 head0.009
GPT teacher head0.207
Teacher spread0.197 · 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 designObservational
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

Citations0
Published2016
Admission routes1
Has abstractyes

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