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Record W4380087520 · doi:10.54691/bcpbm.v46i.5089

Subprime Crisis and Regulatory Responses

2023· article· en· W4380087520 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

VenueBCP Business & Management · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicBanking stability, regulation, efficiency
Canadian institutionsColumbia College
Fundersnot available
KeywordsSubprime mortgage crisisFinancial crisisFinancial systemGreat DepressionSubprime crisisLeverage (statistics)Real estateEconomicsMonetary policyFinancial marketEconomic bubbleEconomic policyBusinessFinanceMonetary economicsPolitical scienceMacroeconomics

Abstract

fetched live from OpenAlex

The 2008 financial crisis brought about the worst economic depression since World War II. This paper covers the three main components of the economic meltdown, along with its cause, consequences, and countermeasures. The crisis emerged against a backdrop of rapidly expanding credit, high risk-taking, and heightened financial leverage. In particular, factors related to the real estate bubble are discussed, among which the subprime mortgage crisis has received widespread attention. The various impacts caused by the crisis are irreversible and affect the financial market to this day. Therefore, discussing various measures after the crisis is helpful to the development of the financial field. Whether it is analyzing monetary policy or fiscal policy, or the ever-renewing Basel Accords, they all help to improve global imbalances. Although the financial crisis emerges in the American market first, its widespread impact is beyond the scope. In this paper, the whole development of the 2008 financial crisis will be deeply discussed.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.753
Threshold uncertainty score0.732

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.027
GPT teacher head0.234
Teacher spread0.207 · 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