Tourism, ecotourism and sport tourism: the framework for certification
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
Purpose – The purpose of this paper is to develop a framework for identifying the need for ecotourism certification within ecotourism and sport tourism (EST) by discussing the overlapping characteristics on the dimensions of EST. Design/methodology/approach – Qualitatively, the Social Exchange Theory was used to discover segments of tourists based on the two dimensions: EST. Findings – The findings discovered four strategic segments (namely; vacation, green, action oriented and active tourists), their related activities, and the level of need for eco certification. Practical implications – EST activities offer a unique opportunity for tourism managers to positively influence conservation in and around communities, protected areas and sport events. Applying and implementing a global eco certification is paramount to attract tourists and enhance credibility of sport tourism. Originality/value – Identification of the four tourists segments and their relative need for certification is the novelty of the study. The labels of the identified tourist segments are: vacation tourist (low on ecotourism and low on sport tourism); green tourist (high on ecotourism and low on sport tourism); action-oriented tourist (high on ecotourism and high on sport tourism); and active tourist (low on ecotourism and high on sport tourism). The certification needs for green and action-oriented tourists are HIGH, for active tourist is MEDIUM, and for vacation tourist is LOW.
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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