Statistics in Focus: Population and social conditions. Asylum applicants and first instance decisions onasylum applications: second quarter 2011. 2012.11
Bibliographic record
Abstract
Asylum applicants and first instance decisions on asylum applications: second quarter 2011Nearly 25 % more asylum applicants in the EU-27 during the second quarter of 2011, compared with the second quarter of 2010There was a large increase in asylum applicants in the second quarter of 2011 compared with the same quarter of the previous year 1 .Nearly 69 000 asylum seekers applied for asylum in the EU-27.This represents an increase of about 12 800, or 23 per cent more compared with the second quarter of 2010.Reflecting the civil and political crises in North Africa, the number of asylum applicants in Malta increased by a factor of 56.Accordingly, the citizenships recording the highest relative increases in applicants were Tunisians and Libyans, increasing by six times and five times respectively.Persons from 142 countries applied for a type of international protection in the EU-27, with Afghans, Russians and Iraqis lodging the 10
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.011 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.051 | 0.022 |
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".