Liberty, Equality and Tourism: D. C. Harvey, Prince Edward Island, and the Power of Tourism/History, 1931–1956
Bibliographic record
Abstract
Daniel Cobb Harvey (1886–1965) was one of the most renowned of the twentieth-century historians of Canada’s Maritime Provinces. Although he served from 1931 to 1956 as the provincial archivist of Nova Scotia, he was throughout his entire adult life passionately committed to the history of his native Prince Edward Island. An ardent proponent of bringing the British liberal enlightenment to all Canadians, Harvey worked assiduously from the 1920s to the 1950s to make Islanders care about their province’s progress and Canadians care about the Island. He scored some notable triumphs in the Historic Sites and Monuments Board, which, thanks to his efforts, conceded far more plaques to honour Island history than would otherwise have been the case. Yet in many ways the victory was a Pyrrhic one. Tourism-related public history placed a strain upon the very liberal enlightenment Harvey was attempting to secure. It did so both because of pressure from the nascent tourism industry, which both provincial and federal governments were coming to identify as a remedy for the Depression-induced crisis, and because it often meant the direct application of problematic standards to historical practice. It also entailed a politics of cultural selection that, in confirming again and again the inevitability and rightness of liberal order, paradoxically placed Harvey’s liberal values themselves under pressure.
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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 | 0.014 | 0.014 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".