Fitting Medieval Europe into the World. Patterns of Integration, Migration, and Uniqueness
Bibliographic record
Abstract
This essay explains different patterns demonstrating how medieval Europe was situated in global visions of the world. Concerning medieval concepts of integration, entanglements, and migrations, three different perspectives are highlighted: (1) Europe was considered, together with Asia and Africa, to be an integral part of the whole world and covered a quarter of its surface. (2) Medieval sources contributed to Europe becoming a destination of immigration of peoples, cultures, and religions of Asian roots. (3) In the second half of the fifteenth century, previous memories of origin changed. The article outlines conflicting opinions about whether European peoples were shaped by migrations or by remaining on their own patch of soil. Just when Europeans began to conquer the world, they realised the geographical limitations of their continent. At the same time, however, they stylised Europe as an exceptional queen ruling the world. The essay was translated from the German by Malcolm Green.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".