MétaCan
Menu
Back to cohort

Further Analysis in Global Financial Crisis: The Panic of 1907 and 2008 Subprime Mortgage Crisis

2023· article· en· W4386639311 on OpenAlexaff
Yi‐Wen Chen

Bibliographic record

VenueAdvances in Economics Management and Political Sciences · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicBanking stability, regulation, efficiency
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSubprime crisisFinancial crisisSecuritizationSubprime mortgage crisisFinancial systemPanicBusinessEconomicsKeynesian economics

Abstract

fetched live from OpenAlex

Learning about the financial crisis and understanding its origin and internal causes could be helpful in better preparing and responding to the global financial crisis in the future. This paper briefly introduces the background of the Panic of 1907 and the 2008 financial crisis. The relationship between the crisis in 1907 and 2008 is mentioned and then the article mainly discusses the 2008 financial crisis and the causes of its occurrence. The 2008 financial crisis is also called the Subprime Mortgage Crisis which began in 2007 and is closely related to the concept of securitization. The financial crisis of 2008 brought a huge impact on the world economy. The conclusion would be drawn, and the main revelation would be discovered in this paper. This article wants to show that financial crises are closely related to each other. We can find similar cases from the previous crisis and bring them into the new crisis to find more perfect solutions. Experience of failure should be prevented in the future.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.014
GPT teacher head0.262
Teacher spread0.247 · 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 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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueAdvances in Economics Management and Political SciencesSame topicBanking stability, regulation, efficiencyFrench-language works237,207