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Record W2108036419 · doi:10.1017/s1537592705940498

The New Masters of Capital: American Bond Rating Agencies and the Politics of Creditworthiness

2005· article· en· W2108036419 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

VenuePerspectives on Politics · 2005
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsWestern University
Fundersnot available
KeywordsPoliticsArgument (complex analysis)Agency (philosophy)Context (archaeology)Power (physics)Political scienceBondCredit ratingBond credit ratingGeopoliticsPolitical economyPublic administrationEconomicsSociologyFinanceLawSocial science

Abstract

fetched live from OpenAlex

The New Masters of Capital: American Bond Rating Agencies and the Politics of Creditworthiness. By Timothy J. Sinclair. Ithaca, NY: Cornell University Press, 2005. 208p. $29.95. In his book, Timothy J. Sinclair makes a strong theoretical and empirical contribution to the growing political economy literature on the increasing influence of nonstate actors. More specifically, he draws upon a cogent interweaving of rationalist and constructivist approaches to reveal the various forms of power exercised by American bond raters, such as Moody's and Standard & Poor's. Moreover, by means of detailed case studies on the rating of corporations, municipalities, and national governments, he demonstrates the broad political implications of rating agency power in terms of both geopolitical and distributive questions. In both cases, Sinclair's central argument is that “rating agencies help to construct the context in which corporations, municipalities, and governments make decisions. Rating agencies are not, as often supposed, ‘neutral’ institutions. Their impact on policy is political first, in terms of the processes involved, and second, in terms of the consequences of competing social interests” (p. 149).

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)0.000
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.641
Threshold uncertainty score0.494

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.230
Teacher spread0.214 · 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