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Record W3118341547 · doi:10.1007/s11077-020-09413-z

Public policy schools in the global south: a mapping and analysis of the emerging landscape

2021· article· en· W3118341547 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 Sciences · 2021
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsCarleton University
Fundersnot available
KeywordsInternationalizationPublic policyCorporate governancePublic administrationPolitical scienceSample (material)Policy analysisEducation policyPolicy studiesEconomic growthHigher educationEconomicsManagement

Abstract

fetched live from OpenAlex

Abstract Public policy education in the Global South has mushroomed in the past 2 decades, concomitant with governance models that provide an alternative to liberal Western democracies. However, not much empirical evidence exists on the drivers and implications of this trend, with few exceptions that point toward a form of internationalization in the policy sciences. This study aims to fill this scholarly gap by comparing 46 public policy schools on various dimensions including degree offerings, institutional establishment and status, and mission. Further, to determine whether a unique model for public policy education is emerging that extends beyond mimicry of longstanding programs in the USA and Western Europe, we surveyed the senior management of the schools in our sample. We find that less than 25% have been directly modeled after a Western school. We discuss the implications of our findings for the practice and study of public policy education.

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)0.007
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.023
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.324
GPT teacher head0.512
Teacher spread0.188 · 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