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Record W2069167124 · doi:10.1080/03050068.2013.834559

The legitimation of OECD's global educational governance: examining PISA and AHELO test production

2014· article· en· W2069167124 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

VenueComparative Education · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsCarleton University
Fundersnot available
KeywordsLegitimationBureaucracyCorporate governanceTest (biology)Global governancePolitical scienceProduction (economics)Comparative educationKnowledge productionInternational educationPower (physics)Higher educationSociologyPublic administrationEconomicsPoliticsManagementLaw

Abstract

fetched live from OpenAlex

Although international student assessments and the role of international organisations (IOs) in governing education via an evidence-based educational policy discourse are of growing interest to educational researchers, few have explored the complex ways in which an IO, such as the OECD, gains considerable influence in governing education during the early stages of test production. Drawing on a comparative analysis of the production of two international tests – the Programme for International Student Assessment (PISA) and the Assessment of Higher Education Learning Outcomes (AHELO) – we show how the OECD legitimises its power, and expertise, and defines ‘what counts’ in education. The OECD deploys three mechanisms of educational governance: (1) building on past OECD successes; (2) assembling knowledge capacity; and (3) deploying bureaucratic resources. We argue that the early stages of test production by IOs are significant sites in which the global governance of education is legitimated and enacted.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.823
Threshold uncertainty score0.614

Codex and Gemma teacher scores by category

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

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 head0.031
GPT teacher head0.370
Teacher spread0.339 · 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