Bibliographic record
Abstract
This book provides both a detailed survey of Canadian travel writing in the nineteenth century and an unusual perspective on Canadian cultural history. The Canadians who wrote about their experiences abroad during the era of mass travel which followed the advent of the steamship reveal much about themselves and their own country as well. Who were these travellers, why did they travel, and what did they expect to see? In answering these questions, Eva-Marie Kroller draws upon a wide variety of materials: novels, guide books, magazines, newspapers, photographs, paintings, and previously unpublished letters and diaries. The self-assured progress of the privileged Canadian travellers often turned into introspective voyages of self-discovery. For one thing, Europeans often mistook them for Americans, and many had to ask themselves what it really meant to be Canadian. In addition, the tone of moral earnestness which pervades the early travellers' tales begins to give way to a certain world-weariness by the end. In Canada and elsewhere, the “tourist” was a new phenomenon at the beginning of the period, but an accepted part of the modern world by the end of it. Canadian Travellers in Europe will be required reading for devotees of travel writing, but it is also a significant contribution to nineteenth-century Canadian history.
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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 | 0.005 | 0.009 |
| Science and technology studies | 0.017 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".