Smart Jur., William Lynn (1824 - )
Bibliographic record
Abstract
Crest within garter. 7.7 x 6.6 cm. Gagnon I, 4961 (for Smart Sr.); Harrod & Ayearst, p. 129; Masson Collection Vol. XII, #1987. Staining and small tear at top. \nThis is likely William L. Smart, born in Middlesex England, admitted as attorney in 1847, and becaming a partner in the firm of Smart, Buller & Smart. He came to Canada (Woodstock) in 1853. He was appointed Secretary of the Woodstock and Lake Erie Railway Company which afterwards amalgamated with the Amherstburg and St. Thomas Railroad Company under the title of the Canada Southern Railway where he remained until 1862. Admitted to the Law Society of Upper Canada he became attorney-at-law and formed a partnership with Hector Cameron which partnership was dissolved in 1868. In 1873 he removed to Hamilton where he was appointed Deputy Judge, a position he held for three years when he again started up practice for himself. (A cyclopaedia of Canadian biography ..., Geo. Maclean Rose, 1886).
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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.274 | 0.117 |
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".