Bibliographic record
Abstract
In This Great National Object , Roberta Styran and Robert Taylor - the unparalleled experts on the subject - recount the story of the canals, with particular emphasis on the experiences of the engineers, contractors, and labourers who built the inland waterways between 1824 and 1889. Making extensive use of the National Archives and the Archives of Ontario, Styran and Taylor unveil previously unpublished information about the construction of the canals, including technical plans and drawings from a wide variety of sources. They illustrate the technical and management intricacies of building a navigational trade and commerce lifeline while also revealing the vivid characters - from businessman William Hamilton Merritt to engineer John Page - who inspired the project and drove it to completion. The history of the Welland Canals is a gripping tale of epic proportions. Given the ongoing importance of the Great Lakes in the North American economy, interest in the St. Lawrence Seaway - of which the Welland is "the Great Swivel Link" - and the relevance of labour history, This Great National Object will be of interest to enthusiasts and historians alike.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.043 | 0.009 |
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".