‘Quite destitute and … very desirous of going to North America’: The Roots and Repercussions of Emigration from Sutherland and Caithness
Bibliographic record
Abstract
This paper explores the roots and repercussions of emigration from the northern Highlands since the 1770s, through the lens of personal testimony, press accounts, estate papers, and recruitment agents' reports, along with some observations from novels and poetry. It studies the particular exodus from Scotland's two most northerly mainland counties – Sutherland and Caithness – within the wider context of Scottish emigration as a whole, and considers how settlement in Canada, the dominant destination, compares with the experiences of Highland emigrants elsewhere. The investigation has three sections, each of which follows a chronological path. It begins with the practical mechanisms through which emigration was promoted and implemented, and the attitudes that underpinned recruitment and sponsorship. The second section reflects on the attitudes of those who opposed emigration, while the third section dips into the emigrants' own testimony to analyse their motives and experiences. Overarching questions are the extent to which there were unique elements in emigration from the far north; whether the participants were passive victims in a process that was determined by others, or had agency, ambition and agendas of their own; and whether the narrative is characterised by continuity or change during the two centuries under scrutiny.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.016 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".