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Record W4234455984 · doi:10.5089/9781513527246.002

Canada

2020· article· en· W4234455984 on OpenAlexaboutno aff

Bibliographic record

VenueIMF Staff Country Reports · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsContingency planCrisis managementAgency (philosophy)Financial crisisBusinessWork (physics)Safety netFinancial sectorFinanceContingencyFinancial stabilityBank failureAccountingFinancial systemPolitical scienceEconomicsEngineeringManagement

Abstract

fetched live from OpenAlex

This Technical Note on Financial Safety Net and Crisis Management for the Canada presents the findings and recommendations made in the Financial Sector Assessment Program for Canada in the areas of bank resolution and crisis management. The note is based on the findings of the mission conducted during October 29–November 14, 2018. The note highlights that Canada has maintained financial stability for a long period of time. Strong institutional settings, effective supervision, and sound financial sector policies have succeeded in preventing crisis situations. The last bank failure in Canada occurred more than twenty years ago. However, the lack of crisis events does not diminish the need for preparation and for revisions to the existing framework. A substantial part of the financial system is covered by federal crisis management and safety net arrangements that are well-established. Coordination among the federal agencies is strong, underpinned by inter-agency committees. The note recommends that the ongoing work of the authorities in completing and enhancing their contingency plans and implementing testing and readiness programs should be continued.

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)0.001
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.358
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0080.001
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3580.096

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 head0.013
GPT teacher head0.252
Teacher spread0.238 · 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
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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Same venueIMF Staff Country ReportsSame topicCanadian Policy and GovernanceFrench-language works237,207