Bibliographic record
Abstract
Contents: Introduction Writing on the Graceland wall: on the importance of authorship in pilgrim landscapes, Derek H. Alderman Cultural and heritage tourism in Canada: opportunities, principles and challenges, Stephen Boyd Tourism in Ghana: the representation of slavery and the return of the black diaspora, Edward M. Bruner Travel motivation of heritage tourists, Joseph S. Chen Conceptualizing the latent visitor to heritage attractions, Andrea Davies and Richard Prentice Mines and quarries: industrial heritage tourism, J. Arwel Edwards and Joan Carles LlurdA(c)s i Coit Maori culture and heritage tourism in New Zealand, C. Michael Hall, Ian Mitchell and Ngawini Keelan Literary places, tourism and the heritage experience, David Herbert Encounters with Aboriginal sites in metropolitan Sydney: a broadening horizon for cultural tourism?, Melinda Hinkson Staying away: why people choose not to visit museums, Marilyn G. Hood Historic houses and special events, Robert L. Janiskee Industrial heritage: a nexus for sustainable tourism development, Myriam Jansen-Verbeke Industrial heritage attractions: types and tourists, Deborah Kerstetter, John Confer and Kelly Bricker Ethnic tourism: a Canadian experience, Yiping Li Characteristics of the audience for 'events' at a heritage site, Duncan Light Market-based product development in heritage tourism, Duncan Light and Richard Prentice The importance of US historic sites as visitor attractions, James C. Makens Into the tourist's mind: understanding the value of the heritage experience, Alison J. McIntosh Tourists' appreciation of the Maori culture in New Zealand, Alison J. McIntosh Attributes of popular cultural attractions in Hong Kong, Bob McKercher, Pamela S.Y. Ho and Hilary du Cros Visitor experiences at heritage sites: a phenomenological approach, Barbara A. Masberg and Lois H. Silverman The core of heritage tourism, Yaniv Poria, Richard Butler and David Airey Benefits received by visitors to heritage sites: a case study of Warkworth Castle, N.A. Powe and K.G. Willis Visitor learning at a heritage attraction: a case study of Discovery as a media product, Richard Prentice, SinA(c)ad Guerin and Stuart McGugan Tourism and legends: archaeology of heritage, John G. Robb Guided by the dark: from thanatopsis to thanatourism, A.V. Seaton Tourism and tradition: from healing to heritage, Bob Simpson The cultural values of literary tourism, Shelagh J. Squire Travelling to the ancestral homelands: the aspirations and experiences of a UK Caribbean community, Marcus L. Stephenson The varied colors of slave heritage in West Africa: white American stakeholders, Victor B. Teye and Dallen J. Timothy Museums: a supply-side perspective, Steven Tufts and Simon Milne Tourism in European heritage cities, Jan van der Borg, Paolo Costa, and Giuseppe Gotti Name index.
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 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.099 | 0.012 |
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".