Millennials as Cross-Cutting Interpreters on Village's Tourism Development Policy in Lampung Province
Bibliographic record
Abstract
Millennials play an essential role in exploring the potential of tourist villages. The purpose of this study is to elaborate on the role of millennials as cross-cutting interpreters. Millennials, as cross-cutting interpreters, are representatives of all tourism stakeholders, both internally and externally, such as tourists, local governments, and private parties (investors). Millennials also have a role as the interpreter group because they are easy to accept. The reason is that modernity domination that offers camouflage in the consumerism life frame blinds the millennials. Thus, the level of confidence in self-actualization with local cultural wisdom decreases due to global capitalism. This research method is descriptive with a qualitative approach. The data are collected through interviews and FGD with key informants relevant to this research study. The result of this research is that the Rigis Jaya and Kelawi Village millennial generation, who are members of the Minang Rua Bahari tourism groups, is a component of village institutions that needs to be embraced by all relevant parties. An effort to collaborate with the millennial generation to equalize opinions and raise tourism development requires commitment from all village components. This effort provides an understanding that the millennial generation is part of the "producer" in developing tourist villages and is aware of the importance of tourist villages in their living environment as a shared responsibility.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".