Bibliographic record
Abstract
Over the past decade and a half, Germany has experienced a period of political and cultural turbulence which many have attributed to the combined challenges of unification and globalisation. In response to growing exposure to global markets, politics and migration debates about identity have increasingly been renationalised. At the same time, there has been a notable reappraisal in Germany (and in German Studies) of the regional and global as spaces for the construction of identity. This volume sets out to explore these complex and at times contradictory trends, focusing in particular on developments in Germany since the 1970s, although chapters treating earlier periods are also included. The volume brings together British, Irish, German, Canadian and American scholars working in the field, and resulted from a conference organised by Women in German Studies at the University of Bath. The first section is primarily concerned with the specifically German concept of locality known as Heimat and its changing relationship with the global. Included are explorations of the writings of Kafka, Bachmann, Johnson, Sell, Wolf, Brinkmann and Jelinek amongst others as well as films by Schlondorff and Steyerl. The second section focuses on the impact of the global on institutions and rituals such as commemoration, memorialisation, and architecture, which have traditionally been influential in shaping national self-images. Overall, this volume concludes that the nature of the relationship to the local has fundamentally changed under the impact of globalisation.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.541 | 0.397 |
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".