Romulus and Ritual in the Beverly Swamp: A Freemason Dreams of Theatre in Pre-confederation Ontario 1
Bibliographic record
Abstract
During the 1820s and 1830s, Henry Lamb, a pioneer settler of Upper Canada (now Southern Ontario), mapped out a city called Romulus, which he intended to build in Beverly Township, a region best known for its dangerous swampland. In an advertisement calling for immigrant settlers, he promised a range of buildings, including “a first-class theatre.” This essay assesses the related documents: accounts of settlers identifying the location for un-built cathedrals; a description of an exaggerated town plan, laid out on a stump; and the newspaper advertisement. It places Lamb’s plans within the broader history of Ontario settlement, illustrated by comparison with fellow founder John Galt. The inclusion of a theatrical venue in a town plan was unusual for the time and region; there is a strong possibility that the plans for Romulus were informed by Lamb’s devotion to the secretive, and theatre-friendly, Freemasonic movement. The Freemasons were bastions of both enlightenment radicalism, and then of British imperialism; as such, they encouraged Lamb to build a prosperous life as a self-made man in a hostile environment, to dream of building a city in the wilderness—and to misjudge his intended community. Settlers at this time were more at ease with and in need of a popular performance culture, of outdoor rituals and kitchen parties, tavern songs and mechanics institute meetings, and not (or not yet) a theatre. This essay considers the plight of a man intent on the orderly, architectural administration of society in a world of improvised spaces.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.020 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".