Bibliographic record
Abstract
Recent years (pre-Obama) of transatlantic rifts should not deceive us into ignoring the great attraction that the United States has exerted, and continues to exert, on Europeans. This article, first, seeks to uncover the normative assumptions that underpin the US as an exemplar or polity model for the EU, as seen from a European perspective. Second, it briefly considers whether the traits that Europeans find attractive about the US as a polity model have much real bearing on the EU, not in terms of how Europeans would want the EU to be but in terms of how the EU presently is. The point is to get a sense of the empirical distance that Europeans would have to travel if they were to transpose what they find attractive about the US to the EU. Are the features Europeans hold up as attractive about the US also available in Europe? These two undertakings set the stage for the third and most original, endeavour, which is to consider whether there are entities that are more compatible with what we currently find in Europe. The case singled out here is another American state, namely Canada. A clarification and critical assessment of what is referred to here as ‘Europe’s American Dream’ are intended to serve as a kind of mirror for Europeans to consider whether the European project is: (a) one of emulating the US; (b) a unique experiment; or (c) an EU that is closer to Canada than the US. If the reality of Canada is more proximate to the reality of the EU, should then Canada instead serve as Europe’s American Dream?
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 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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.015 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".