MétaCan
Menu
Back to cohort
Record W2133358940 · doi:10.1504/ijram.2012.051261

The effect of the financial crisis on enterprise risk management disclosures

2012· article· en· W2133358940 on OpenAlex
Michael Maingot, Tony K. Quon, Daniel Zéghal

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Risk Assessment and Management · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicRisk Management in Financial Firms
Canadian institutionsWilfrid Laurier UniversityUniversity of Ottawa
Fundersnot available
KeywordsBusinessRisk managementFinancial risk managementFinancial crisisEnterprise risk managementAccountingCredit riskFinanceRisk assessmentFinancial systemEconomicsManagement

Abstract

fetched live from OpenAlex

The effect of the financial crisis on enterprise risk management (ERM) disclosures was examined through a content analysis of the 2007 and 2008 annual reports of Canadian corporations listed on the S&P TSX composite index. Fourteen types of risk were tracked and categorised by level of risk exposure, risk consequence and risk management disclosures. The total number of risk disclosures increased by 3.6% from 2007 to 2008. Changes in the disclosed levels of risk increased even less. While the levels of risk exposure increased the most for credit risk, only economic and credit risks showed more than minor increases in the disclosure of risk consequences. Overall, the 2008 financial crisis has not had a major impact on risk disclosures by non-financial Canadian corporations.

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)0.003
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 score0.246
Threshold uncertainty score0.686

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.005
GPT teacher head0.258
Teacher spread0.253 · 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