Importance and Satisfaction of Destination Attraction for Water-Based Tourism in Jeju Island
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 purpose of this study was to verify importance and satisfaction of destination attraction for water-based tourism in Jeju Island using Importance-Performance Analysis (IPA). The participants of this study consisted of 429 water-based tourism participants who visited Jeju Island in Korea. The collected data were analyzed and interpreted using SPSS program, frequency analysis, exploratory factor analysis, reliability analysis, and Importance-Performance Analysis. The results of this study were as follows. First, quadrant 1 included in season and climate comfort, local souvenirs, and hospitality of tourism program guide. Second, quadrant 2 included six items with sports activities rental facilities, scenic viewing activity, hospitality of local residents, accessibility of the island, convenience of local island transportation, and tourism safety. Third, quadrant 3 included four items with congestion of sightseeing spot, the reputation of a tourist destination, amusement facilities, affordable price, and traditional foods Fourth, quadrant 4 included eight items with marine related experience training activity, coastal landscape and terrain, marine sports activity, accommodation and shopping facilities, marine festivals and events activity, rest and recreational activity, history and cultural heritage, and service facilities.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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