Bibliographic record
Abstract
Economic migrants are individuals who have one country or area of origin, who come to another country or area - in this case the United Kingdom - with the main goal of working. The purpose of this study was to comprehend the most probable impact of economic migrants from outside of the European Economic Area (EEA) on traffic congestion and transportation networks. The authors reviewed 22 major studies on this subject matter. Very little literature existed on migrants' travel in the United Kingdom, though relevant papers from Sweden, Canada, Australia and Norway were found. The second part of the study involved an empirical analysis of data from the United Kingdom. The National Travel Survey, the Certificate of Sponsorship, and the Annual Population Survey were examined for relevant data. Here are some of the findings: 1. Migrants concentrate in metropolitan areas that provide extensive public transit. 2. Migrants generally use non-automobile modes of travel, such as walking, car sharing, bicycling and public transit. 3. The longer migrants stay in the United Kingdom, the more like the native population they become in their travel patterns.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".