Bibliographic record
Abstract
Ebu’l-Fidâ Ismail b. Omer Ibn Kesir (H.774), Kasasu’l-Enbiyâ (nsr. Es-Seyyid el-Cemili), Dâru’l-Cil, Beyrut, s. 170. Omer Faruk Harman, “Ibrahim”, DIA, XXI/268. John Van Seters, “Abraham”, The Encyclopedia of Religion (Editor: Mircae Eliade), I-XVI, Macmillan Publishing Company, Londra, 1983-1986, I/13. Kur’an’da Isa’nin, Ibrahim soyundan sayilmasi (el-En’âm 6/85), Beydâvi’ye gore kadinin da secerede bir deger sahibi oldugunu gosterir. [Kim bilir, belki de bu, babasiz bir yolla dunyaya gelmesinden kaynaklanan bir zorunluluktu?] bk. el-Kâdi Nâsiruddin Ebi Said Abdillah b. Omer Muhammed es- Sirâzi el-Beydâvi (H. 791), Tefsiru'l-Beydâvi el-Musemmâ Envâru’t-Tenzil ve Esrâru’t-Te’vil, I-II, Dâru’l- Kutubi’l-Ilmiyye, Beyrut, 1988, I/309. James Strong, The New Strong’s Exhaustive Concordance of the Bible, Thomas Nelson Publishers, Nashville-Atlanta-London-Vancouver, 1990, s. 8-9. Saban Kuzgun, Islam Kaynaklarina Gore Hz. Ibrahim ve Haniflik, Se-Da Yayinlari, Ankara, 1985, s. 2
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".