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Record W4400319621 · doi:10.1080/14719037.2024.2369789

New public management marketizers versus Neo-Weberian state modernizers? Institutional configurations of social impact bond utilization among 18 OECD countries

2024· article· en· W4400319621 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

VenuePublic Management Review · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsState (computer science)Public managementPolitical scienceBondNew public managementInstitutional theoryEconomicsPublic economicsPublic administrationEconomic systemBusinessPolitical economyPublic sectorFinanceManagementLaw

Abstract

fetched live from OpenAlex

Social Impact Bonds (SIBs), a New Public Management (NPM)-style commissioning model, contain elements of other reform framings, widening their appeal and potential for variation in differing reform contexts. This study implements a fuzzy-set qualitative comparative analysis (fsQCA), seeking configurations explaining SIB uptake across 18 OECD countries. The two high-utilization configurations produce an Anglo-American model of NPM marketizers and a European model of Neo-Weberian State (NWS) modernizers, whereas the four low-utilization configurations include exclusively NWS modernizers and maintainers, suggesting SIBs as a fertile case study of public management reform tools adapting and trajectories merging in differing national administrative cultures and contexts.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.851
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.116
GPT teacher head0.325
Teacher spread0.209 · 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