Bibliographic record
Abstract
Bu çalışma, Hicri I. asırdan V. asra kadar, Kur’ân lügatlerinin, doğuşundan gelişimine doğru nasıl bir seyir izlediğini kronolojik olarak örnekleriyle ve sözlük çeşitleriyle ele almaktadır. Çalışmamızın amacı bu sözlüklerin çıkış sürecindeki nedenlere de kısaca değinerek, türlerinin ilklerinden ve yenilik getirenlerinden örnekler vererek her bir sözlük türünün Kur’ân’ı anlamamızdaki işlevini ve onlardan nasıl daha iyi istifade edilebileceğini ortaya koymaya çalışmaktır. Bu çalışma Kur’ân sözlüğü sayılan veya Kur’ân sözlüğü olarak addedilebilecek çalışmalar olan Garîbü’l-Kur’ân, Vücûh ve’n-Nezâir ve Meâni’l-Kur’ân’ların ilk beş asırda telif edilenlerini, tarihi seyriyle beraber her bir türü özellikleriyle ve Kur’ân tefsirinde onlardan nasıl istifade edileceğiyle ilgili olarak örnekleriyle ele alacaktır.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.041 | 0.015 |
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".