6. Learning from Food Laws in Nova Scotia
Bibliographic record
Abstract
Learning from Food Laws in Nova ScotiaOn the first Thursday of October, 1781, St. George Tucker, who would go on to write a few lines about hunger personified, reported almost four hundred dead horses floating in and sprawled along the shore of the York River in Virginia.The corpses indicated that Lord Charles Cornwallis had ordered the animals killed to save on forage and had "no Intention of pushing a march" from his besieged position at Yorktown.Cornwallis was close to surrendering to the American rebels.His men, who had been short on provisions even before reaching Yorktown, now battled an outbreak of smallpox. 1Throughout the Revolutionary War, ex-bondpeople had prevented British hunger.But when the tides of the war shifted, the military had little use for black victual warriors, for the provisioners like David George and Boston King who had supplied soldiers, or for their families.Formerly enslaved men, women, and children strug gled to obtain British help after Yorktown.Cornwallis ousted the runaways from a hospital at Gloucester to save on rations, while dogs ate the amputated limbs left behind.It was during this chaos that Boston King heard rumors that the British were planning to return escapees to former masters, and it was also during this period that he recalled his loss of appetite.Yet people like Boston King, and like David George, who had used provisioning roles to ensure their mobility from one colony to another, also managed to leave the former American colonies and go to Nova Scotia.
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".