Survei Pemahaman Leksikon Ekologis Bahasa Jawa Pada Mahasiswa PGSD Universitas Sanata Dharma (Tinjauan Ekologi Linguistik)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p><em>This study examined the use of Lexicons related to ecological lexicons in Javanese that are commonly used by everyday students. This type of research according to Furchan (1982) was a qualitative descriptive research sub-category of survey research. Research subjects were 96 students from Java (Yogyakarta and Central Java). The instrument developed was a questionnaire. Validation of instruments using the expert judgment of Javanese linguists. The results showed students who were ecological lexicon in Javanese were 53.19%, students who did not understand the ecological lexicon of Javanese were 46.81%. More than half of the students still understand the meaning of the ecological lexicon of the Javanese language. The data was followed up with interviews. The results of the interview revealed that students' understanding of the meaning of the ecological lexicon was not entirely appropriate. Some ecological lexicons of Canada are no longer used in terms of the absence of the main factors. First, youth urbanization in Javanese society. Second, the number of speakers is getting smaller. Third, the changing natural factors, climate, and weather are commonly described by the ecological lexicon are not felt by the majority of Javanese people</em>.</p>
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.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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 it