Media Sosial Sebagai Alat Pemasaran Mangrove Pandang Tak Jemu Di Kampung Tua Bakau Serip
Bibliographic record
Abstract
Mangrove Pandang Tak Jemu in Kampung Tua Bakau Serip is a unique and interesting ecotourism destination. Considering the importance of the mangrove tree ecosystem and its potential as a tourist attraction, an effective marketing strategy is needed. One of the most effective and efficient ways to promote this destination is through social media. This article resulting from community service will explain how social media can be used as a very effective tool to market the Mangrove Pandang Tak Jemu in Kampung Tua Bakau Serip. Choosing the right media and the right marketing strategy, social media can increase visibility thereby attracting more visitors, and ultimately support the mangrove forest environment through sustainable tourism. Optimal use of social media can help Mangrove Pandang Tak Jemu in Kampung Tua Bakau Serip become a widely known tourist destination, as well as provide education and increase awareness of the importance of the mangrove ecosystem as a lungs of the world
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 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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.050 | 0.006 |
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".