Letter from Duncan Campbell to Mary, 25 December 1837
Bibliographic record
Abstract
The first letter, written to a Mary, is dated at Montreal, 25 December 1837 and describes the Battle of Saint-Eustache and its aftermath. The letter is four pages. Campbell writes extensively about the battle noting that “both regts. charged down the street as quickly as we could & took possession of the benches on both sides of the Church. The Rebels in those houses were all shot or made prisoners. They still however kept up a fire from the Church windows & showed the most determined courage you can imagine. At last the door was stormed by a party of Royals & almost immediately after it the church was set fire to. They now began to run in all directions & made no further resistance of any kind…our men shot about 7 of them & we brought 15 of them back prisoners. Two more hours were employed in scouting the woods & shooting any of the poor wretches who continued to resist, & making as many prisoners as we could…”. He further describes the grisly scene of the burning church and bodies of the dead rebels, and the abandonment of the nearby villages. Campbell concludes that [Weeks] body had been found sunk in a river and that [Captain Henry] had turned quite deranged and is now in confinement. (A transcription of the letter has been provided)
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.259 | 0.106 |
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".