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Record W2806437523 · doi:10.1590/0034-761220170020

Diffusion of CCTs from Latin America to Asia: the Philippine 4Ps case

2018· article· en· W2806437523 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

VenueRevista de Administração Pública · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPolicy Transfer and Learning
Canadian institutionsSimon Fraser University
FundersLee Kuan Yew School of Public Policy, National University of SingaporeNational University of Singapore
KeywordsPolicy transferArticulation (sociology)Latin AmericansConditional cash transferDiffusionPolitical scienceTRACE (psycholinguistics)PhenomenonSouth asiaSubject (documents)SociologyPublic administrationEpistemologyComputer scienceLaw

Abstract

fetched live from OpenAlex

Abstract The purpose of this study is to understand the role of international and domestic actors, ideas and processes in the diffusion of public policies. It argues that existing studies on the subject do not provide an adequate explanation of the mechanisms through which diffusion takes place, nor do they sufficiently address the roles of actors affecting the policy transfer process. We address these shortcomings by studying the diffusion of conditional cash transfer (CCT) programs from Brazil and Mexico to the Philippines over the past decade. We use the concept of an ‘instrument constituency’ to delineate and trace the various actors and channels involved in the diffusion of CCTs. The case study shows that these groups of actors dedicated to the articulation, adoption and expansion of particular policy instruments are central players in transnational diffusion of policies and offer a robust explanation of the phenomenon.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.963
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.358
Teacher spread0.319 · 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