Bibliographic record
Abstract
The period from 1996 to 2008 was one of rapid economic and social change in Ireland, with one of the most significant changes being the transition from a situation of net emigration to one of substantial net immigration. Although research on the impact of immigration on Irish society, as well as the labour market characteristics and experiences of immigrants in Ireland has increased in recent years, comparatively little is known about the health status of immigrants to Ireland. An extensive international literature has documented a 'healthy immigrant' effect for large immigrant-receiving countries such as the United States, Canada and Australia, whereby the health status of immigrants is better than comparable native-born individuals. There is also evidence to suggest that immigrants' health status deteriorates with time spent in the host country. However, the Irish immigration experience differs considerably from that of countries that have been the focus of research on the 'healthy immigrant' effect. Using microdata from a nationally representative survey of the population in 2007, this paper finds only limited evidence in favour of a 'healthy immigrant' effect for Ireland, although the distinctive features of the Irish immigrant population, and the nature of the data available, may partly explain the results.
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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 | 0.008 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".