National Identity Issues in the New German Elites: A Study of German University Students
Bibliographic record
Abstract
This empirical study treats German university students as a rising elite. After discussing the broader sociohistorical context of German national identity in recent decades, this study analyzes (a) students’ attitudes and perceptions on issues related to nationalism, national identity, and inclusion, and (b) the extent to which the “Wall in the Mind” as a psychological chasm persists in the new post-cold war generation of West and East Germans. Survey data were obtained from a sample of 544 students at 11 universities in the three areas of Germany: West Germany, East Germany, and Berlin. A major finding on the issue of national identity, as manifested in common symbols and common tasks, is a blurring of regional differences, with no significant differences found by age or gender. Overall, students reject “traditional” nationalism in favor of a “post-national” commitment to transnational values such as human rights and social equality for all. A significant majority feel there is a common German culture and that East and West Germans are forming one people; one whose future lies in being part of the European Union. We conclude there may be an emergent trend among university students of a post-national identity of being German-in-Europe, which warrants further comparative research.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".