A country nourished on self-doubt : documents in Post-Confederation Canadian history
Bibliographic record
Abstract
For a generation or more there have been few books that brought together in accessible form the raw materials of Canadian history. In many minds the impression has taken root that those materials are uninteresting. Broadview's two-volume anthology of documents in Canadian history, A Few Acres of Snow and A Country Nourished on Self-Doubt, demonstrates the contrary: that these raw materials provide extraordinarily engaging and informative insights into the richness of Canadian history. This new edition of the second volume of the collection presents many new documentary sources on post-Confederation Canadian history, combined with the most compelling passages from the first edition. Each chapter offers a group of source materials on particular themes or events, beginning with consideration of Canada's place in the British Empire and its relations with the United States in works such as Goldwin Smith's 1891 and the Canadian Question and ending with significant contemporary debates such as those surrounding multiculturalism and environmentalism. Documents offer the reader insight into what it was like to be present at the trial of Louis Riel or to experience the impact on Canada of the Great War or the Great Depression. Articles deal with residential schools; the Front de Liberation du Quebec and the Quebec independence movement; the Royal Commission on the Status of Women; free trade and peacekeeping. Writings by Nellie McClung, Grey Owl, Rene Levesque and David Suzuki, and reproductions of works by the Group of Seven are numbered amongst the many contributions. As in Volume I, included are document groupings that take into account the history of Canada's various regions; social, cultural, political and intellectual history; and the experiences of women, Native peoples, immigrants and the working class. New to this edition are Discussion Points found in each chapter immediately after the introduction. These points help readers focus upon some of the central historical debates surrounding the topics. In order to promote further research and analysis, the new edition also features Further Readings at the end of each chapter. These wide-ranging bibliographies provide a quick reference for books and essays on each subject area. Thomas Thorner is a member of the Department of History at Kwantlen University College. This is his fourth book. Thor Frohn-Nielsen, who assisted on this project, also works in the History Department at Kwantlen. Special Combination Price: Please note that a special discount price is available when this book is ordered shrinkwrapped together with A Few Acres of Snow: Documents in Pre-Confederation 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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.020 |
| Science and technology studies | 0.026 | 0.013 |
| Scholarly communication | 0.014 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".