Bibliographic record
Abstract
Selling British Columbia is an entertaining examination of the development of the tourist industry in British Columbia between 1890 and 1970. Michael Dawson argues that in order to understand the roots of the fully-fledged consumer culture that emerged in Canada after the Second World War, it is necessary to understand the connections between the 1930s, 1940s, and the postwar era. Cultural producers such as tourism promoters and the state infrastructure played important roles in fostering consumer demand, particularly during the Depression, the Second World War, and throughout the postwar era. Dawson draws upon promotional pamphlets, newspapers, advertisements, and films, as well as archival sources regarding government, civic, and international tourism organizations. Central to his book is an examination of the representation of popular imagery and of how aboriginal and British cultures were commodified and marketed to potential tourists. He also looks at the gendered aspect of these promotional campaigns, particularly during the 1940s, and challenges earlier interpretations regarding the relationship between tourism and nature in Canada. Historians have tended to focus on either the first wave of consumerism from the 1880s to the 1920s, or else on the era of economic expansion that followed World War Two. As Dawson shows, the 1930-45 period in particular was an important and dynamic one in the creation of Canadian and British Columbian consumer culture. Michael Dawson’s highly readable and engaging account of the development of the British Columbia tourist industry will be welcomed by British Columbian and Canadian historians, as well as other scholars of tourism and consumerism.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.010 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.110 | 0.011 |
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".