Language Attitude of Sellers in Traditional Market Toward Karonese Language
Bibliographic record
Abstract
The purpose of this study was to find out the trades attitude towards the karonese language in Indonesia. Therefore, descriptive analysis research was conducted to get the relevan findings in this study. The data were collected by using interview and documentation techniques. Furthermore, the data were analyzed qualitatively on language attitude. The Finding of this study was there were 12 traders consists of 10 male traders and 2 female traders (67%) of respondents showed positive attitudes towards Karonese Language. They said that they are responsible to use Karonese Language since it is their personal identity. In addition, There was nobody using Karonese Language unless themselves. While the researcher found 6 female traders (33%) of respondents showed negative attitudes since they usually use Indonesian Language in their daily life activities because their husbands are not Karonese. In conclusion, all male gave positive attitude towards karonese language in traditional market in Indonesia and some females give negative attitude towards karonese language in traditional market in Indonesia.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".