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Record W4313566777 · doi:10.1177/00380407221146773

Global Determinants of Education Reform, 1960 to 2017

2023· article· en· W4313566777 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

VenueSociology of Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLegitimacyGlobalizationPolitical scienceCivil societyGlobal governanceDevelopment economicsHigher educationCorporate governanceOrder (exchange)Economic growthEconomicsPolitics

Abstract

fetched live from OpenAlex

Since post-World War II and especially throughout the 1990s, the globalization of a liberal international order propelled a wave of education reforms around the world. However, recent challenges to the legitimacy of the liberal order may undercut the prevalence of education reform across countries. To reveal how global changes are influencing education, we draw on a newly constructed data set of 6,696 education reforms in 147 countries from 1960 to 2017. Using dynamic negative binomial panel regression models, we find declining levels of reform in recent decades. We also find evidence of changing dynamics of influence among prominent organizational actors: World Bank lending is less associated with education reform over time, whereas the influence of international nongovernmental organizations has grown. This suggests a shifting system of governance, where formal coercive pressures become less palatable and the normative influences of civil society grow stronger. Overall, our findings indicate that education reform arises as a macro-global process as much as a response to local needs and conditions.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.547
Threshold uncertainty score0.988

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 studies0.0000.001
Scholarly communication0.0000.000
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 head0.033
GPT teacher head0.426
Teacher spread0.393 · 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