Which Irish men and women immigrated to the United States during the Great Famine migration of 1846–54?
Bibliographic record
Abstract
Abstract Despite the extensive scholarly literature on both the Great Famine in Ireland and the Famine immigration to the United States, little is known about precisely which Irish men and women emigrated from Ireland in the Famine era. This article makes use of a new dataset comprised of 18,000 Famine-era emigrants (2 per cent of the total) who landed at the port of New York from 1846 to 1854 and whose ship manifests list their Irish county of origin. The data is used to estimate the number of emigrants from each county in Ireland who arrived in New York during the Famine era. Because three-quarters of all Irish immigrants intending to settle in the United States took ships to New York, this dataset provides the best means available for estimating the origins of the United States’s Famine immigrants. The authors find that while the largest number of Irish immigrants came from some of Ireland’s most populous counties, such as Cork, Galway, and Tipperary, surprisingly large numbers also originated in Counties Cavan, Meath, Dublin, and Queen’s County, places not usually associated with the highest levels of emigration. The data also indicates that the overall level of emigration in the Famine years was significantly higher than scholars have previously understood.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".