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The World Economic Crisis and the Federal Reserve’s Response to it: August 2007-December 2008

2010· article· en· W1480977887 on OpenAlexvenueno aff
Christopher Rude

Bibliographic record

VenueStudies in Political Economy · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsCrisis responseEconomicsEconomic policyFinancial crisisPolitical scienceDevelopment economicsEconomic growthEconomyEconomic historyKeynesian economics

Abstract

fetched live from OpenAlex

The world economy is clearly in the midst of a crisis as deep and profound as the Great Depression of the 1930s. The crisis began in 2006 in the US housing and related mortgage markets, but it soon spread to the rest of the US economy and then to the rest of the world. In August 2007, the turmoil moved from the securitized US mortgage markets to the interbank dollarfunding market, causing the latter to freeze up. Worries about the extent and distribution of the mortgage-related losses had become so extensive that market participants no longer had faith in one another’s credit-worthiness, and the market that provides US banks and other dollar-based financial institutions with their liquidity became illiquid as a result. An already very troubled financial system was imploding because the large commercial banks, investment houses, and insurance companies that were at the heart of the US financial system could not borrow short-term from one another, and this was happening just when a loss of confidence was sending liquidity preferences soaring. Then in September 2008, the entire US banking and financial system collapsed as a social financial system in a period of acute turmoil as violent and decisive as that of the 1931 banking crisis. From this point forward, what, at first, appeared as a US-based “subprime mortgage market crisis” revealed itself to be a world economic crisis of major proportions.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.619
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.035
GPT teacher head0.311
Teacher spread0.277 · 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.

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

Citations2
Published2010
Admission routes1
Has abstractyes

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