Ethnizität und Kultur in multikulturellen Gesellschaften und im virtuellen Raum
Bibliographic record
Abstract
One of the distinguishing features postulated for European states is the ethnic, cultural and linguistic homogeneity of their citizens. This homogeneity, for both affected societies and individuals, is increasingly manifested as dysfunctional due to increasing migratory movements within Europe, immigration from non-European countries, regional aspirations for autonomy and, finally, the integration of European states into the European Union. Against this backdrop and in the midst of a rapidly advancing internationalization, made possible for example by the use of the internet etc., the question of the relationship between citizenship and ethnic and cultural identity in Europe is raised urgently and in a new light: Should European states or the European Union apply a concept of constitutional patriotism in the future or a conception of multicultural nationalities, as Canada, a traditionally host state for immigrants, did in 1971? To what extent do the media play a role? Can they contribute to the development of an understanding between states that responds to multiculturalism in Europe?
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 | 0.003 | 0.002 |
| 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 | 0.027 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.000 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".