Evidence for Trans-Atlantic Networking Among Scottish Immigrants in Nineteenth-Century Canada
Bibliographic record
Abstract
A renewed interest in Scottish migration has led authors such as Lucille H. Campey and the editorial team of Scott A McLean and Michael E. Vance to re-examine the Scottish-Canadian experience.Their respective works, though different in approach, both reveal important clues to the underlying networks that gave Scottish immigrants to Canada a unique story.In addition, the growing popularity of global history forces us to reinterpret the history of the Scots in Canada and to search for new evidence in order to unveil the hidden networks linking families and communities in a trans-Atlantic setting.Through both an analytical and statistical approach, Campey has written an in-depth study of trans-Atlantic Scottish emigration.It is a study of emigration that begins in a land riddled with economic woes and diverse exclusionary forces and ends in one of opportunity and continued communal networking.Specifically, Campey explores the longevity and success of Scottish emigration to Canada.In contrast to what some historians have maintained were the
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".