Bibliographic record
Abstract
Al-Qur'an as a text (signs) of the holy book, can always be interpreted and the opportunity is always open to be studied and thought about the meaning of the verses, according to its position as "tibyãn li kulli syai" (reference interpretation of everything) . Regarding the Semantic approach that was initiated by Tashihiko Izutzu became an influential part in tracing the true meaning of a word contained in the Qur'an. The semantic approach has many branches of scientific theory, however, the semantic branch of Toshihiko Izutzu's theory is structural semantics, in this theory there are two operational steps it offers to study aspects of the basic meaning of a word and study the relational meaning (new meaning), from researching this rational aspect of emergence some analysis about that.Keywords: Semantics; Al-Qur’an; Thoshihiko Izutzu. Al-Qur’ãn sebagai teks (tanda-tanda) kitab suci, senantiasa dapat ditafsirkan dan selalu terbuka peluang untuk dikaji dan dipikirkan makna ayat-ayat-nya, sesuai dengan posisinya sebagai “tibyãn li kulli syai” (referensi penafsiran terhadap segala sesuatu). Perihal pendekatan Semantik yang digagas oleh Tashihiko Izutzu menjadi bagian yang berpengaruh dalam penelusuran hakikat sebuah makna kata yang terdapat pada al-Qur’an. Pendekatan semantik memiliki banyak cabang teori keilmuwan akan tetapi, cabang teori semantik Toshihiko Izutzu ialah semantik struktural, dalam teori ini ada dua langkah operasional yang ditawarkannya yaitu mengkaji aspek makna dasar suatu kata dan mengkaji makna relasional (makna baru), dari meneliti aspek ralasional ini munculnya beberapa analisis tentang itu.Kata kunci: Semantik; Al-Quran; Thoshihiko Izutzu.
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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 | 0.000 |
| 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 | 0.006 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".