McCord, John Samuel (1801-1865)
Bibliographic record
Abstract
Label. 3.5 x 6.6 cm. Not in Gagnon, Harrod & A.yearst, or Masson. little foxed. \nJohn S. McCord was born in Dublin. He studied law and was admitted to the bar of Lower Canada in 1823. He was appointed a Circuit Court judge for the District of Montreal in 1844 and a judge of the Superior Court, District of Montreal in 1857. He was also an amateur scientist and his name is found on a publication titled, Report of meteorological observations made on the Island of St. Helen, in the river St. Lawrence, opposite the city of Montreal, province of Canada ... for the Natural History Society of Montreal / by the military guard there stationed, under the superintendence and direction of John S. M'Cord, Montreal, 1842. His son, David Ross McCord, founded the McCord Museum in Montreal. This label likely dates to the 1830s. It's strange that it was unknown to Gagnon, H. & A., and Masson, or Stacey.
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 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.186 | 0.076 |
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".