Colonial Military Garrisons as Labor‐Market Shocks: Quebec City and Boston, 1760–1775
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Bibliographic record
Abstract
Abstract The military occupation of Boston in 1768 shocked the city's labor market. The soldiers, who were expected to supplement their pay by working for local businesses, constituted an influx equal to 12.5 percent of greater Boston's population. To assess the importance of this shock, we use the case of Quebec City, which experienced the reverse process (i.e., a reduction in the British military presence from close to 18 percent of the region's population to less than 1 percent). We argue that, in Boston, the combination of the large influx of soldiers and a heavy tax on the local population in the form of the billeting system caused an important wage reduction, while the lighter billeting system of Quebec City and the winding down of the garrison pushed wages up. We tie these experiences to political developments in the 1770s.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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