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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 OpenAlexaff
Ola G. El‐Taliawi, Sreeja Nair, Zeger van der Wal

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.012
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations23
Published2021
Admission routes1
Has abstractyes

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