Bibliographic record
Abstract
W hen we first conceived the idea of chronicling the construc- tion of the four Welland Canals, we planned to present the whole saga in one volume covering the years to , but the men, machines, and challenges of the twentieth century burst the confines of one book, demanding a second volume.And so, in the first of our books, is Great National Object: Building the Nineteenth-Century Welland Canals (McGill-Queen's University Press, ), we described the construction of the first three Welland Canals between and .e book in your hands -in effect, volume of a two-volume studytells the story of a still little appreciated chapter of twentieth-century Canadian enterprise and achievement.As in volume , we stress "the human element," the way in which engineers, contractors, and workers confronted manifold problems "on the ground" and created what is still one of Canada's most spectacular technological accomplishments.We stress that, more than was the case in the nineteenth-century Welland waterways, the construction expertise involved was mainly Canadian in origin.Although not without difficulties, our research for volume has been easier than was that for the first book because, with the exception of the era of the ird Canal's construction, graphic material was limited for volume .On the other hand, during the two decades when the Welland Ship Canal was being built, the Department of Railways and Canals hired professional photographers to document the work.ese talented men were: John George Williams, who worked -; James W. Jarrett, -; J.A. McDonald -; and, a er , J. Joy (fig.Pref.).Consequently, thousands of photographs recording both panoramas and details exist.ese were made to assist the original construction engineers and contractors but still to help the St Lawrence Seaway en- A Canadian Conception: A Canadian Achievement
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.033 | 0.028 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.030 | 0.005 |
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".