“An Honourable and Useful Career”
Bibliographic record
Abstract
This article considers how a semi-skilled Scottish stonecutter could rise to become one of Upper Canada’s most accomplished businessmen over the course of a few decades in the second half of the nineteenth century. Although largely unremarked, the man who modestly styled himself “John Brown, Contractor” contributed significantly to the development of his adopted country’s industrial and commercial infrastructure until his unexpected death in 1876. Based in the Niagara region, he became the country’s pre-eminent contractor cum civil engineer: he established the first hydraulic cement mill in British North America in Thorold in 1841, and his professional acumen was instrumental in ensuring the success of major public works, from the Second and Third Welland Canals to the Imperial Tower lighthouses. The manager “loved by his men” and the “fair boss” who advocated for labour rights was overseeing an estimated 500 men on a myriad of contracts throughout Ontario when he died. Brown was also a shrewd real estate speculator whose extensive land and quarry holdings helped to shape Niagara’s economic landscape.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.009 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.028 | 0.011 |
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".