Bibliographic record
Abstract
Tourism has been a central part of Prince Edward Island’s identity for more than a century. What began as a seasonal sideline in the nineteenth century evolved into an economic powerhouse that now attracts over 1.5 million visitors each year, employs one in ten Islanders, and is the province’s second leading industry. Spanning from the Victorian era to the COVID-19 pandemic, The Summer Trade presents the first comprehensive history of tourism in any Canadian province. Over time the Island has marketed a remarkably durable set of tourism tropes – seaside refuge from urban industrial angst, return to innocence, literary shrine to L.M. Montgomery, cradle of Confederation, garden of the Gulf. As private enterprise and the state sought to manage the industry, the Island’s own identity became caught up in the wish fulfillment of its summer visitors. The result has been a complicated, sometimes conflicted relationship between Islanders and tourism, between a warm welcome to visitors and resistance to the industry’s adverse effects on local culture. Lavishly illustrated with postcards, tourist guides, and memorabilia, The Summer Trade also presents a history of Prince Edward Island in cameo that tracks cultural, economic, political, and environmental developments and tensions. Across the strait, the Island beckons.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.033 | 0.008 |
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".