DEFINING ‘EUROPE’ AND ‘EUROPEANS’: Constructing Identity in the Education Policy of the European Union
Bibliographic record
Abstract
Education policy has been regarded as an important means through which a ‘Europeandemos’ could be created within the European Union. The initiatives undertaken by theUnion in this field were based on a similar rationale that nation states employed in theirprocesses of nation-building. In this framework education was seen as the main mediumthrough which a common culture, shared values and aspirations were inculcated amongthe peoples of ‘Europe’. Parallel to this, the policy discourse of the Union in this fieldsymbolised the way in which Union institutions themselves viewed the identity of theUnion and that of its peoples. This article applies a discourse analysis framework toexplore the way in which the Union institutions represented the identity of the Unionand that of its peoples in their official discourse in the sphere of education policy, whichhas been regarded as a key policy area with respect to identity-formation andmaintenance efforts in the Union.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.051 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.024 | 0.068 |
| Scholarly communication | 0.030 | 0.028 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.011 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".