Bibliographic record
Abstract
Abstract Germans working in Austria are confronted with several subliminal resentments. Research on nationalism, racism, and diversity has overlooked this topic up to now, as Germans, as well as other Northern American or Western European citizens, are very rarely analysed as marginalized groups. Furthermore, the situation of migrants from geographically, linguistically, and culturally close countries, has received scant attention and been deemed of little importance up to now. The anti‐German sentiments in Austria are primarily based on the Austrian self‐perception of being non‐German as a constitutive element of ‘Austrian‐ness’. Related to that, negative attributions ascribed to Germans simultaneously mean a positive attribution of ‘Being Austrian’. Based on a content analysis of ten narrative interviews, conducted with Germans working in Austria, it appears that they permanently experience being categorized as ‘the Germans’, which leads to several types of exclusion, demotion, and also discrimination in the workplace. Differences in hierarchy level and perceived competition seem to moderate this effect. It appears that workplace superiors of Germans tend also to put an emphasis on positive stereotypes related with Germans, whereas Austrian colleagues on the same hierarchy level tend to performatively construct and reproduce ‘Being German’ as a deficit that they associate with negative stereotypes.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".