[no title]
Bibliographic record
Abstract
The development of tourist villages is an effective way for the growth and development of the rural economy which has an impact on increasing people's welfare.This research aims to make a baseline survey in the development of Api-Api Tourism Village, Bangun Mulya Tourism Village, and Rozeline Flower Park.The method used for this research is qualitative with data triangulation with respect to data sources in verifying/re-examining existing research data, using a Participation Action Research (PAR) approach including baseline surveys, documentation, and Focus Group Discussions (FGD). .The data collected was then analyzed by assessing the feasibility study of the tourism business through 7 ADWI assessment categories.The result of this program is the feasibility of the Tourism Village in North Penajam Paser based on the survey (Baseline Survey) that has been conducted.The results of the Focus Group Discussion (FGD) 3 places in North Penajam Paser namely Api-Api Village, Bangun Mulya Village and Rozeline Flower Park have the potential to be developed to become tourist villages and tourist attractions, but need attention, assistance and guidance from the government as well as academics.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.047 | 0.007 |
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".