Tourism, Mobility and Second Homes: Between Elite Landscape and Common Ground
Bibliographic record
Abstract
1. Introduction, C M Hall & D K Muller 2: Second Home Tourism: Impact, Management and Planning Issues, D K Muller, C M Hall & D Keen (University of Otago) 3. The Cottage Privilege: Increasingly Elite Landscapes of Second Homes in Canada, G Halseth (University of Northern British Columbia) 4. The Cottage and the City: An Interpretation of the Canadian Second Home Experience, S Svenson (York University) 5. Encounters Between Tourists, Second Homeowners & Permanent Residents, L Aronsson (University of Kalmar) 6. Social and Cultural Perspectives of Second Home Tourism: A Transnational Perspective, D T Duval (University of Otago) 7. British Second Homes in Southern Europe, A M Williams (University of Exeter), R King (University of Sussex) & T Warnes (University of Sheffield) 8. Dwelling Through Multiple Places: ACase Study of Second Home Ownership in Ireland, B Quin (Dublin Institute of Technology) 9. Recreational Second Homes in the united States, D J Timothy (Arizona State University) 10. Recreational Second homes in the South West of Western Australia, J Selwood (University o Winnipeg) & M Tonts (University of Western Australia) 11. A hidden Giant: Second Homes & Coastal Tourism in South Eastern Australia, W Frost (Monash University) 12. Second Homes in New Zealand, C M Hall & D Keen (University of Otago) 13. Second Homes: Reflections on an Unexplored Phenomenon in South Africa, G Visser 14. Second Homes in Spain, M A Casado-Diaz (University of West England) 15. Second Homes as a Part of a New Rural Lifestyle in Norway, T Flognfeldt jr. (Lillehammer College) 16. Second Homes in Sweden, D K Muller 17. Second Home Plans among Second Homeowners in Northern Europe's Periphery, B Jansson (Umea University) & D K Muller 18. The Future of Second Homes, D K Muller & C M Hall.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 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".