Bibliographic record
Abstract
Timurid era is the era of Persian culture and literature efflorescence. Amirs Timuri’s attention to culture has provided base literature for breeding scholar. In Timurid period, a large number of poetry and literature people were commuting in the court of Timur. Eyewitness of two important literary biographies is as a biography of the poet Samarkandi and more importantly Amir Alishir Navai’s Tazkara Majale-Al Nafis. The importance of the second work is that the author had both Divan and Persian literature expertise. Checking presented poets from Navai in Majales Al Nafis is the most important objectives of the present study. The main question is that, which group had higher share in the categories of poets in Majales Al Nafis, and what was the reason? The results show that, poets whom Navai had referred to in his work, have not been outside the three groups, poets agreed with the government, or the opposition and exile, and the third group were also in average. The reason for this division is that, firstly, the desire of Timurid was to ordinary and popular poets, and secondly, selection and anthology of poets in Majales-Al Nafis book has a meaning from the author. This study is intended to explain the poets of the era in Navai’s work with statistical and comparative method.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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".