EBU’L- HASAN HARAKANİ’NİN HAYATI VE ESERLERİ
Bibliographic record
Abstract
Ebu’l-Hasan Harakânî was a significant Turkish Sufi who liven from the last quarter of the X. century to the first quarter of the XI century and one of the first representatives of the school of sufi which had an extremely important effect in Islamization of Anatolia. His name is Ali bin Cafer and his personal tag is Ebu’l Hasan. Harakânî who was born in 352 according to the Hegira calendar and in 963 according to the Gregorian calendar is coetaneous with some Sufis such as Ebu’l-Kasım Kuşeyrî, Ebu’l Abbas Kassâb, Ebu Said el-Miheni, some state dignitary such as Gazneli Sultan Mahmûd, and some philosophical and medical authorities such as İbn Sinâ. Harakânî died in the tenth day of Muharram 425/in the fifth day of December, 1033. There are two ideas about his death. The first is that he died and second is that he was martyrized at Yahniler Mountain, Kars City. There are some works such as Hidayetnâme, Fakrnâme, Nûru’l-Ulûm which are related to Harakânî. Nûru’l-Ulûm is a Persian work approximately consisting of ten parts and 50-60 pages and containing different sufistic topics. Harakânî is a kabz (depression) expert with the temperament/spirit of Bâyezid-i Bistâmî. He drew spiritual inspiration from Bâyezid-i Bistâmî and because he was trained by drawing inspiration, his poetries and enthusiastic expressions are famous. Harakânî deeply influenced some Sufis in the history of Sufism such as Aynu’l- Kudât Hemedâni, Necmeddin Dâye, Attar and Mevlâna Celâleddin Rûmî. Harakânî was a genuine man of heart who loved getting worried about the troubles of other, who earned his keep with farming and who lived a humble life
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.034 | 0.014 |
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".