Bibliographic record
Abstract
Safi, whose birth date is unknown, he lived until the first quarter of the 18th century. The poet, whose real name is Mustafa, is known by the nickname "Tavlabaşı-zâde", which is also encountered in different forms such as "Tavîlebaşı" and "Tavîle-zâde" in the sources. Different researchers have done various studies related to their work, including encyclopedia/dictionary articles, articles, books, and master's thesis. However, in most of these studies, there is a common assessment that the tazkira and biographical sources do not mention Safî. Therefore, related studies show that there is no information about the poet's life, or limited information from his works is transferred as far as it can be accessed. However, a few recent studies have found that there is an unusual situation in the biography of the poet, and it has been found that the poet is involved in some sources -in a wrong way- with a different pseudonym and that this error information is also available in many biographical works written today. This article goes one step further than what is known about the poet and it was tried to draw attention by reaching the biography of the poet, which was present from the beginning but never noticed. In addition, a review of the poems of Safî Mustafa Efendi on Sâlim Efendi Tezkire has been considered to be open to criticism in many ways and it is emphasized that this evaluation statement, which is thought to be unfair, is repeated by some current biographical sources without being subjected to any examination.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".