Bibliographic record
Abstract
Migrations are the phenomenon as old as the history of humanity. For millennia individuals or entire groups are moving in search for the better standard of living, the safety and sheltering from armed conflicts, persecution or natural disasters. The XX age was in this aspect special. He was characterized from one side by two world wars caused by the huge migratory movement, collapse of multinational states, brutal ethnic conflicts, on the other whereas with wave of the economic migration, West Europe directed mainly at richest nations, the USA and Canada. Mass walks cause the long-lasting change of the domicile, i.e. migrations in which human largest groups are participating, even – however rather in exceptional cases – the entire people or them fundamental and usually the most valuable parts. We know at present, that - in practice only a part of the tribe of the nation migrated. On account of „normal” in our climatic conditions and cultural direction of the migration towards the zone of the Mediterranean civilization, the migrating part in general was in favorable terms, if it concerns noticing by world the civilization and letters, and so appears in the historic arena, while the part staying in current registered offices is also in the background of history „, into standing as if of primeval non-existence. Bonds of the blood relationship of many fragments gradually died. A herniation is a typical result of the migration from the visual field of the part not participating in the walk of the tribe.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.035 | 0.008 |
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".