Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it