Bibliographic record
Abstract
s journal begins in May 1775, shortly after simmering tensions between Great Britain and her traditional North American colonies boiled over into armed conflict. Prior to this, relations between the metropolis and the thirteen colonies had grown increasingly strained. The protest-destruction of the Boston "Tea Party" brought about London's sharp response in the form of the Coercive Acts, which in turn spawned new levels of collective colonial action, prompting the first Continental Congress, which met in Philadelphia. Among that assembly's several acts, the delegates composed and sent a letter to the inhabitants of the Province of Quebec, asking their northern neighbors to join them in a second congress that would meet in May 1775. 1 Before the second Continental Congress could meet, however, British troops and Massachusetts militia fought at Lexington and Concord in April 1775. Shortly thereafter, as Badeaux records early in his journal, Ethan Allen and Benedict Arnold captured Fort Ticonderoga and Crown Point, securing these key military posts at the southern end of the Lake Champlain corridor on behalf of the colonies. Coincidentally, this occurred on the same day that the new Continental Congress convened. The unexpected capture of the forts was the key moment that transformed Quebec into the Revolutionary War's northern front.
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 | 0.003 | 0.004 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.059 | 0.015 |
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".