A Decade of Sustainable Halal Ecotourism: A Bibliometric Analysis
Bibliographic record
Abstract
In recent years, halal ecotourism has emerged as one of the fastest-growing industries.This study aims to analyze the current growth and trend of publications in halal ecotourism.The study data was obtained from the Scopus database.After the search result refinement, the data comprised 1892 articles from 2013 to 2022.The data was then analyzed using VOSviewer, Biblioshiny, and Microsoft Excel tools.The results of the study conclude that the most significant contributors in the field of halal ecotourism were Boley B.B. from the authorship with 16 publications, the Department of Tourism, University of Otago, Dunedin, New Zealand from the institution criteria with 11 publications, and China by country (286 publications).This research provides theoretical and practical implications.Besides, it can also be used as a practical guide for determining potential research gaps.The study recommends further study in the area of halal ecotourism using different methodologies, such as a systematic literature review.
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.
How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.031 | 0.021 |
| Science and technology studies | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".