Research on Destination Projection and Tourist Perceived Image of College Students--Based on Symbolic Interactionism
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
Accurate shaping of the image of tourist destinations is a necessary prerequisite for the good development of tourism. This research took Lijiang as an example, took college students at school as the research object. It collected official online publicity texts, designed interview outlines, and interviewed college students to obtain relevant text data. It used text analysis and grounded theory to portray the image of the tourist destination and tourist perceived image of college students in the tourist destination. It used differential analysis to discuss differences in the three image themes of Lijiang's tourist attractions, history and humanities, and tourist infrastructure. Facing the group of college students and tourists, the research proposed suggestions for accurately shaping the image of Lijiang as a tourist destination based on symbolic interactionism.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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