The European Union, education governance and international education surveys
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.
Bibliographic record
Abstract
The European Union – comprising 28 member states with individual sovereignty in the formation and implementation of education policy – has developed research and communication strategies to facilitate the exchange of best practices, gathering and dissemination of education statistics and, perhaps most importantly, advice and support for national policy reform. Additionally, shared programs have been implemented across the union, which have led to the formation of one of the largest transnational policy networks in the world. This paper examines the influence of international education surveys administered by the Organisation for Economic Cooperation and Development, outlining the key characteristics of the surveys and the most salient findings. We discuss the contribution of emerging European Union governance for the quality of education while also looking at the challenges ahead. These challenges include developing assessments to include value added, revising assessments to include broader skills and providing assessment feedback to teachers within an EU context in which national and Organisation for Economic Cooperation and Development assessments become complementary, rather than overlapping, survey measures.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it