Antecedents Experiential Commitment and Consequences in Willingness to Post Photo and Behavioral Intention Toward the Destination
Bibliographic record
Abstract
The purpose of this study was to examine whether Destination Image, Place Attachment, Place Identity, Place Dependence and Experiential Commitment have an effect on Behavioral Intentions toward the destination, willingness to post photos. The population of this study is tourists who visit Labuan Bajo tourism. This study's sample size was 200 people. This is a quantitative study using a survey method. In this study, a questionnaire was used to collect data. Online questionnaires were distributed to domestic tourists who visit Labuan Bajo and the technique sampling using a Non Probability Sampling approach with purposive sampling, with the criteria that tourists visit Labuan Bajo at least once a year. PLS-SEM is used to analyze data. The results showed that there was a positive influence between the variables Destination Image, Place Attachment, Place Identity, Place Dependence, Experiential Commitment, Behavioral Intentions toward the destination, willingness to post photo. Labuan Bajo have an adventure Tourism Activities, cultural Tourism Experience, Culinary Experience (Cruise Dining, Dining with a View), beautiful spot photo and scenery.
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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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".