Bibliographic record
Abstract
"Identity Tourism: Imaging and Imagining the Nation" examines the role of tourism in the construction of national identity. To imagine a nation, nationalists must construct a national story about their history and culture that defines them as a people, and counters the negative story circulated by their enemies. One of the objectives of this book is to identify the necessary historical and cultural components of a compelling national story. Yet, a story is of no use unless it is heard, so nationalists need media through which the national narrative can be told.The principal objective of this book is to show that identity tourism is a medium that can be used to tell the national story, both to group members and outsiders. As such, it is particularly useful in the construction of a sense of national identity. Identity tourism, which incorporates both ethnic and heritage tourism, includes museums, heritage centers, performances, and other attractions in which collective identities are represented, interpreted, and potentially constructed through the use of history and culture.One of the strengths of tourism is that it can convey a message to a broad, mass audience, and it can present that message in a vivid and lively way. A weakness of tourism is that vivid and lively presentations can degenerate into trivializing history, culture and politics to the point that any meaningful message is lost.Thus one of the main challenges in identity tourism is to balance educational goals against the entertainment imperatives of the medium. This book explores these and other issues using observational and interview data primarily from Wales, where nationalism, identity and tourism have long been heatedly contested. A comparative perspective is provided through the use of secondary case studies examining Native American tourism in the United States and Canada, and tourism in Brittany and South Africa.
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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 | 0.004 | 0.007 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".