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Record W4365451760 · doi:10.1080/13563467.2023.2196063

Limits to the financialisation of the state: exploring obstructions to social impact bonds as a form of financialised statecraft in the UK, Israel, and Canada

2023· article· en· W4365451760 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNew Political Economy · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsYork University
FundersSocial Sciences and Humanities Research Council of CanadaIsrael Science Foundation
KeywordsState (computer science)BondPoliticsEconomicsPrivate sectorPrivate finance initiativeCivil societyPolitical economySocial capitalFinancial marketPrivate capitalCapital (architecture)Public sectorPolitical scienceFinancial systemMarket economyFinanceEconomyEconomic growthProduction (economics)LawMacroeconomics

Abstract

fetched live from OpenAlex

Within the financialisation literature, scholars have turned their attention to the state, exploring the adoption of financial activities by state actors, paying less attention to the limits of state financialisation. This paper explores these limits using the case of social impact bonds (SIBs). Pioneered in the UK in 2010 and subsequently trialed in some 35 countries, SIBs use private capital to fund social programs, with governments providing a return based on the degree of success. Despite expectations of dramatic growth, the SIB model has never truly taken hold. Based on the rollout of SIBs in the UK, Israel, and Canada, the paper considers the challenges encountered by the SIB enterprise as a form of financialised statecraft and identifies three barriers: (1) resistance to political agendas of state financialisation; (2) clashes between finance and public sector cultures; (3) financial innovation seen as ‘risk’ and ‘disruption’ to entrenched socio-technical routines. These barriers reveal tensions both within the state itself and between finance and the public sector, and indicate the importance of thinking about the limits and failures of state financialisation.

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 score0.887
Threshold uncertainty score0.715

Codex and Gemma teacher scores by category

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

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 head0.052
GPT teacher head0.264
Teacher spread0.212 · 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