Bibliographic record
Abstract
After 2000, a profound liberalization of naturalization criteria in Germany was followed by culturalist setbacks: language requirements were tightened, a civics test, a pledge of allegiance, and citizenship ceremonies were introduced. Can these developments be termed a liberal assimilationist turn in what it means to be a citizen or is this a revival of the old notion of a German cultural identity as Kulturnation (cultural nation)? The qualitative study of German citizenship ceremonies presented herein, provides an in-depth analysis of the logics of “liberal assimilation” and the nexus between culture, citizenship, and national belonging. At the ceremonies, “culture” is referenced as a universally human feature that binds people together. Conversely, culture is also presented as an individual folkloristic asset that can be used for profit and for contributing to the value of diversity. This twofold conceptual specification of “culture” is then discussed as an adaptation of the originally universalist Kulturnation idea and as a modern solution to the problem of societal integration. Full text available at: https://doi.org/10.22215/rera.v11i1.256
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.018 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.007 |
| 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".