Bibliographic record
Abstract
This authoritative yet accessible introduction to understanding Europe today moves beyond accounts of European integration to provide a wide-ranging and nuanced study of contemporary Europe and its historical development. This fully updated edition adds material on recent developments, such as Brexit and the migrant and Eurozone crises. The concept of Europe is instilled with a plethora of social, cultural, economic, and political meanings. Throughout history, and still today, scholars writing on Europe, and politicians involved in national or European politics, often disagree on the geographic limits of this space and the defining elements of Europe. Europe is, therefore, first and foremost a concept that takes different shapes and meanings depending on the realm of life on which it is applied and on the historical period under investigation. At a given point in time, depending on the perspective we adopt and the situation in which we find ourselves, Europe may represent very different things. Thus, we should better talk about ‘Europes’ in plural. What is Europe? explores these evolving conceptions of Europe from antiquity to the present. This book is all the more timely as Europe responds to the Russian invasion of Ukraine and Britain’s departure from the European Union, financial slump, refugee emergencies, and the COVID-19 pandemic. This book offers a fully updated introduction to European studies from an interdisciplinary perspective. It is a crucial companion to any undergraduate or graduate course on Europe and the European 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.027 | 0.011 |
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".