Frontmatter
Bibliographic record
Abstract
Roads to Confederation surveys the way in which scholars from different disciplines, writing in different periods, viewed the Confederation process and the making of Canada.Recognizing that Confederation has been traditionally defined as a process affecting only British North America's Anglophone and Francophone communities, Roads to Confederation offers a broader approach to the making of Canada, and includes scholarship written over 145 years.Volume 2 of this collection focuses on three major themes.It presents research from the perspective of Canada's regions, with one chapter focusing exclusively on the competing understandings of 1867 from the perspective of Quebec.Next, it includes material pertaining to the geopolitical underpinnings of 1867 that addresses the relationship between Confederation, the U.S. Civil War and American expansionism, Great Britain, and war in the European theatre.Also included is leading scholarship by Stanley B. Ryerson, Adele Perry, Fernand Dumond, Ian McKay, and James W. Daschuk that questions whether Confederation itself was a formative event.Together with its companion volume, this is an invaluable resource for those who wish to deepen their understanding of the historical foundations on which Canada rests.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.842 | 0.668 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".