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Record W4283797921 · doi:10.1080/13563467.2022.2095994

Rent and financial accumulation: locating the profitability of American finance

2022· article· en· W4283797921 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

VenueNew Political Economy · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFinancial intermediaryEconomicsProfitability indexFinanceProfit (economics)IntermediationFinancial systemMicroeconomics

Abstract

fetched live from OpenAlex

American finance has grown immensely profitable in the past four decades, but the precise reasons for this tremendous and sustained growth have not been sufficiently understood. The primary purpose of this paper is to explain the immense profitability of US finance by systematically examining how its sources of profit and types of profit-generating activities have changed since the onset of financialisation in the 1980s. Conceptually, the paper develops a typology of financial profit-generating activities, drawing a separation between credit intermediation, market mediation, and rentierism. Empirically, it examines the changing accumulation dynamics witnessed in US finance since the 1960s using the IRS Statistics of Income, BEA National Income and Product Accounts, and Federal Reserve Flow of Funds data. The paper identifies primary income sources for the sector as a whole and its most profitable subsectors, finding strong evidence that financial profit-making has shifted from lending to ownership and management of capital. It is argued that this transformation has fundamentally changed finance’s relationship with the real economy.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.890
Threshold uncertainty score0.578

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 studies0.0000.000
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 head0.041
GPT teacher head0.262
Teacher spread0.221 · 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