The search for a promised land: three settlement plans, three agents, and three handbooks for Icelandic migrant-settlers from 1875
Bibliographic record
Abstract
The nineteenth century was a time of mass migration from Europe to North America, and in the last quarter of the century, Icelanders joined the flow of European settlers. Icelanders were one of the last European peoples in this period to start sailing west, between 1870 and 1914; but, one in every five Icelanders moved to North America. This article looks at three handbooks for prospective Icelandic migrant-settlers – all published in 1875 – and the settlement plans they promoted (in Nova Scotia, today’s Manitoba, and Alaska), to analyse the information presented to prospective settlers, especially depictions of land and its inhabitants. While the texts, written or translated by three Icelandic immigration agents, vary greatly in their scope and tone, all perceive Icelanders as desirable settlers, suitable for advancing the goals of settler colonialism, and portray the areas as terra nullius, minimizing perceived Indigenous presence in the places marked for European settlement. The texts show that prospective Icelandic emigrants reading these booklets were aware that they contributed to and benefited from Indigenous dispossession, and that Icelanders and other ‘ethnic’ migrant-settlers in British settler colonies should be considered in settler colonial studies, as settler colonialism and migration policy are intimately linked.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".