Cartwright, John S. (1804-1845)
Bibliographic record
Abstract
Engraved armorial. 10.6 x 6.7 cm. Gagnon I, 4796 who gives J. R. Cartwright; Harrod & Ayearst, p. 43, who assign his death date to 1860; Masson Collection Vol. III, #439. \nJohn Solomon Cartwright was born in Kingston, Upper Canada, the son of Richard Cartwright and Magdalen Secord (the sister of Laura Secord). He studied law in York, UC (now Toronto) in the law office of John Beverley Robinson (whose bookplate is shown above) and was called to the Bar in 1825. He went to London to pursue further legal studies at Lincoln’s Inn, but by the autumn of 1830 had returned to Kingston, where he resumed his law practice. His seriousness about his profession is shown by the large sum he was spending on legal books. In England he had probably laid out £250 for a “law library”. In 1834 he was appointed a judge of the Midland District Court; he was elected a bencher of the Law Society of Upper Canada in 1835 and in 1838 he was made a QC. He became the first president of the Commercial Bank of Kingston in 1831. He was elected to the Legislative Assembly of Upper Canada in 1836 and to the Legislative Assembly of United Canada in 1841. He opposed the Union of 1840 and turned down the solicitor-generalship from Sir Charles Bagot in 1842. He died at Kingston. His great-grandson, John Robert Cartwright (1895-1979), a graduate of Osgoode Hall Law School, was Chief Justice of the Supreme Court of Canada, 1967-1970.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.346 | 0.197 |
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".