Bibliographic record
Abstract
* Foreword (Stanley Selengut) * Preface * Acknowledgments * Chapter 1. Tourism Today and Tomorrow * Introduction * The World of Tourism * Charting a New Course for Sustainable Tourism * Overview of Chapters * Case Study One: The U.S. Virgin Islands' Newest Sustainable Tourism Product--St. Croix Salt River Bay National Historical Park and Ecological Preserve * Chapter 2. A Philosophic Approach to Sustainable Tourism * Sustainable Tourism Dominates Our Future * What to Look For in Sustainable Tourism * Sustaining the Tourism Product * Best Practices to Guide Tourism's Future * Case Study: Ecuador--The Wonderful World of the Galapagos Islands * Chapter 3. Is Sustainable Tourism Economically Viable? * Thinking Through Sustainable Tourism * The Economics of Community Growth Through Tourism * Strategic Planning for Sustainable Tourism * Marketing the Sustainable Tourism Product * Case Study: Missouri, Big Cedar Lodge--The Epitome of Sustainable Tourism * Chapter 4. Nature-Based Tourism: Don't Fool with Mother Nature * Nature-Based Tourism Was Never So Good * Yes, Tourism Impacts Natural Areas * Protecting the Environment Through Tourism Development * The Name of the Game Is Quality * Case Study: Sustainable Ecotourism Development in the Embera Indigenous Communities--Chagres National Park, Panama * Chapter 5. What Is Our Heritage? * Heritage Tourism: In the Beginning * Heritage Tourism: Today and Tomorrow * Definitions Are Good * Modeling Heritage Tourism * Case Study: Looking for Lincoln--Vandalia, Illinois Develops New Lincoln Park * Chapter 6. Culturally, Tourism Is Important * What Is Cultural Tourism? * What Are Our Problems with Culture? * Avoiding the Pitfalls * What Are the Priorities of Action? * Case Study: Early Native Americans--Cahokia Mounds State Historic Site * Chapter 7. Tourism Goes Country * Tourism to Rural Areas * Valuable Tourism Products * The Dynamics of the Tourism Industry * Community Involvement Makes for Successful Tourism * Case Study: Roanoke River Paddle Trail--A Watery Approach to Rural Tourism * Chapter 8. Strategies for Sustainable Tourism * Tourism Development Must Have a Strategy * Strategies for Rural Areas As Well * Practical Guidelines for Sustainable Tourism * Best Practices for Sustainable Tourism * Case Study: A Rural Masterpiece--Kansas Tallgrass Prairie National Preserve * Chapter 9. Managing Sustainable Tourism * A Paradigmatic Shift * Recognize and Plan Strategy * Don't Get Too Crowded * Effective Management Is the Way to Go * Case Study: The Embodiment of Managed Tourism--Canada, Banff National Park * Chapter 10. More to Say About the Future * Inventory, Assess, Plan, Develop, Market, and Manage * A Global Sustainable Tourism Initiative That Might Just Work * Research and Education--Our Pathway to the Future * Sustainable Tourism Has Arrived and Is Healthy * Case Study: Sustainable Tourism in the U.S. Virgin Islands, St. John--Maho Bay, Harmony, and Concordia * Notes * Bibliography * 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.028 | 0.013 |
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".