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Record W2757288767 · doi:10.1080/14494035.2017.1377987

How instrument constituencies shape policy transfer: a case study from Ghana

2017· article· en· W2757288767 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

VenuePolicy and Society · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPolicy Transfer and Learning
Canadian institutionsUniversity of Saskatchewan
FundersGoverno Brasil
KeywordsPolicy transferConditional cash transferPolicy analysisLatin AmericansPublic policyCashDozenDeveloping countryPublic economicsEconomicsPublic administrationPolitical scienceEconomic growthMacroeconomics

Abstract

fetched live from OpenAlex

Abstract The concept of instrument constituency provides students of public policy with a new analytical tool for the analysis of policy change. In this article, we use the example of cash transfer programs to show how this concept also makes a direct contribution to the analysis of transnational policy transfer. More specifically, the analysis shows how, over the last dozen years, actors forming an instrument constituency promoted the diffusion of cash transfers as a policy instrument from Latin America to sub-Saharan Africa and, more specifically, from Brazil to Ghana. This case study of Ghana’s adoption of a cash transfer program is grounded in semi-structured, expert interviews conducted with both domestic and transnational actors. Overall, the analysis demonstrates how the concept of instrument constituencies can enrich the literature on policy transfer, a key source of policy change in both developed and developing countries.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.550
Threshold uncertainty score0.996

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 studies0.0050.001
Scholarly communication0.0010.001
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 head0.069
GPT teacher head0.356
Teacher spread0.288 · 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