Figure of Speech in Bandung Historical Tourism Sites Naming
Bibliographic record
Abstract
Many researchers do their research on figurative language or figure of speech, but it is limited research on figure of speech in historical tourism sites naming. The aim of this research is to investigate the figure of speech in historical tourism sites naming in Bandung area. The earlier study explained that the names of tourism destinations in Jawa Barat have different figure of speech and it happens to Bandung historical tourism sites naming. The method used by the present writers in this research is descriptive method. The descriptive method chosen by the present writers is used to identify and classify the names of the historical tourism sites in Bandung area as the data. From the various types of figure of speech referring to the theory, it is found that they are two types of figure of speech found in the data. The two figures of speech employed are personification (Gedung Merdeka and Gedung Indonesia Menggugat) and metaphor (Goa Belanda, Goa Jepang, Paris van Java, and Kota Kembang).
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".