Innovative and promising practices in sustainable tourism
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The intent of this volume is to provide an opportunity for academics, extension professionals, industry stakeholders and community practitioners to reflect, discuss and share the innovative approaches that they have taken to develop sustainable tourism in a variety of different contexts. This volume includes nine cases from across North and Central America reaching from Hawaii in the west to New England in the east and from Quebec in the north to Costa Rica in the south. Case studies are a valuable way to synthesize and share lessons learned and they help to create new knowledge and enhanced applications in practice. There are two main audiences for this volume: 1) faculty and students in tourism related academic programs who will benefit from having access to current case studies that highlight how various stakeholders are approaching common issues, opportunities and trends in tourism, and 2) extension agents and practitioners who will gain important insights from the lessons learned in the current case study contexts.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.005 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it