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Record W4380086573 · doi:10.54691/bcpbm.v46i.5097

The Macroeconomic Implications of Subprime Crisis

2023· article· en· W4380086573 on OpenAlexaff
Minghao Du

Bibliographic record

VenueBCP Business & Management · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicBanking stability, regulation, efficiency
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFinancial crisisUnrestFinancial systemSubprime mortgage crisisMarket liquidityCurrency crisisEconomicsLiquidity crisisBusinessFinancePoliticsMacroeconomicsPolitical science

Abstract

fetched live from OpenAlex

Finance is partly international since financial assets have such high liquidity. Many factors, including national financial institutions, financial markets, financial products, and others, contributed to the financial crisis. People's expectations for the future of the economy are pessimistic, the currency of the region has produced a sizeable budget, the scale and aggregate of the economy have been significantly reduced, domestic economic growth has been severely harmed, and many businesses have closed, driving up the unemployment rate. Moreover, there is some social unrest and political unrest along with a general decline in the social economy. On August 9, 2007, the global financial crisis, also known as the credit crisis and lasting from 2007 to 2009, began. After the early subprime home credit crisis arose, investors began to lose trust in the value of mortgage instruments, which caused a liquidity crisis. Despite continuously pumping large amounts of money into the financial system, the central banks of multiple different countries were unable to halt the financial crisis from beginning. The financial crisis had been under control up until September 9, 2008, but it had begun to spin out of control, leading to the failure of numerous significant financial institutions or government takeover.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.806
Threshold uncertainty score0.935

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.024
GPT teacher head0.240
Teacher spread0.216 · 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 designTheoretical or conceptual
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
Published2023
Admission routes1
Has abstractyes

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