Persuading the Public: Ranking of Bidayuh’s Home-stays Websites
Bibliographic record
Abstract
In this age of the new media, everyone with access to the Internet and knowledge can build their own website to market their services or products to the general public. One group of people who are harnessing the powers of the Internet is individual home-stays operators. Home-stays operators can advertise their services to the general public, either locally or internationally through the Internet. This paper explores the types of contents created by the Bidayuh people who are home-stays entrepreneurs at the Annah Rais longhouse located in the Padawan District, Sarawak. A search on the Internet indicates that three operators have their own websites to advertise their home-stays. To obtain information about the services and packages offered by these Bidayuh operators, the three home-stay websites were content analyzed. The analysis involves ranking these websites with a purposely created ranking instrument. Analysis of the data show that these home-stays operators obtained an above average score on all indicators. In other words, potential visitors will have sufficient knowledge about each home-stay if they were to surf the respective websites. Knowledge about the location, accommodation, types of packages and modes of reservation are offered to entice would be visitors to the Annah Rais longhouses.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".