Race, racialisation, and the East of the European Union: an introduction
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Racial capitalism requires that the subaltern periphery, providing cheap labour and new markets, be placed behind an imagined racial barrier, so that the full protection of the liberal state is not extended to it. This has applied also to the ‘Eastern enlargement’ of the EU. The East has had to compete with a much richer and more powerful West. When, inevitably, the East was unable to ‘catch up’, its ‘failure’ was attributed to its alleged historical and cultural incompatibility with the West. Such racist discourse has penetrated global and European politics, economics, and media. It also affects people who move from the East to the West. Unfortunately, many Eastern Europeans project their own racialisation onto others. This dynamic is articulated from the equivocal position of Eastern Europe, between the core West and the Global South. It aims to affirm the threatened whiteness of people in the region by distancing them from the Global South. But also, it functions within Eastern Europe, with each country to the East imagined as more ‘Eastern European’ until one reaches the prototypical Eastern European nation, Russia. For racism against Eastern Europeans reflects, in the final analysis, the long-standing imperial rivalry between the West and Russia.
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.
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 | 0.005 | 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 | 0.001 | 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 it