Maryland Gazette August 1776 Vol. 32
Bibliographic record
Abstract
woul urge hit delicacy farther, and repeated nit affertions, that no failure of refpect was intended, , He then faid, that' he would endeavour, as well as.he could, to recolleft gen.Howe's fentiments on the letter and fefolves of ,eongre.lifent.him a few .daysbefore,-re lifting the treatment of our prifoners in Canada.," 1 hat the af-: fairs of Canada were in another department, not lub-Vjecl to the controul of gen.Howe, but that he and lord Howe utterly disapproved of every infringement on 'the rights «f humanity.",CoI.Patterfon then took a paper out of his pocket, and after looking it over, faid.ne had cxprefled f arly the words.Gen. Washington then iaid, that ,B*.had alfo forwarded a copy of the refolvei t» gen.Burgoyae.To which col. Patterfnn replied, 'lie did.DO* doubt a-proper attention would be paid to them, and that be (gen.Wafhington) was^fenfible that "..cruelty war not the charaCteriltfc of the Britim nation.Col. Patterfon then proceeded to fay he hail it in charge .tomention the cafe of gen.Prefect, who they were informed was treated with ruch rigour, thai, under his .ageand intirmitie>, fafal cohfequencei might be apprehended.Gen. Wafllington replied, "that gen.Prefect's treatment had not fallen under his notice*; that all perfons under his particular direction he had treated with kindnefs
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.692 | 0.619 |
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".