Bibliographic record
Abstract
Brave, humane, and generous . . . still he was only a brave, humane, and generous rebel; curse on his virtues, they've undone this country. --Member of British Parliament Lord North, upon hearing of General Richard Montgomery's death in battle against the British At 3 a.m. on December 31, 1775, a band of desperate men stumbled through a raging Canadian blizzard toward Quebec. The doggedness of this ragtag militia--consisting largely of men whose short-term enlistments were to expire within the next 24 hours--was due to the exhortations of their leader. Arriving at Quebec before dawn, the troop stormed two unmanned barriers, only to be met by a British ambush at the third. Amid a withering hale of cannon grapeshot, the patriot leader, at the forefront of the assault, crumpled to the ground. General Richard Montgomery was dead at the age of 37. Montgomery--who captured St. John and Montreal in the same fortnight in 1775; who, upon his death, was eulogized in British Parliament by Burke, Chatham, and Barr; and after whom 16 American counties have been named--has, to date, been a neglected hero. Written in engaging, accessible prose, General Richard Montgomery and the American Revolution chronicles Montgomery's life and military career, definitively correcting this historical oversight once and for all.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".