Bibliographic record
Abstract
This research paper surrounds the tradition of criticism in Balochi Classic Poetry which, according to the research scholars, begins in the mid of fifteenth century (Era of Meer Chakar Rind the Great) and comes to an end in the first two decades of the twentieth century. As the Balochi classic poetry is in oral tradition, that is why its many prominent components are missing and many of the poets are unknown, except a few as Shay Kallaan, Shay Essa, Shay Sholaan, Beebagar Rind and Shay Mureed. However, as many pieces of poetry so far have been discovered through the Pahlwan (Minstrels) who sang these songs in their musical gatherings and later on, they were recorded and brought in written shape. By studying these pieces of poetry, one can sense that the Baloch poets had the sense of criticism by the time they created their poetry. They knew the art and poetics of poetry, and they used the literary devices in their creations, such as metaphors, similes, symbols, and many others. The second period of Balochi Classic Poetry, Abid known as Mullahi Era, actually is the connectivity of the first era. In other words, there are some similarities and some differences between two of the era’s poetry in terms of subjects, techniques, diction, and style. In this era, particularly, Jam Durruk, Mast Toakali, Mullah Fazul and Rahm Ali Mari are the notable poets who seem to be influenced by their classical poetry. But on the other hand, they have maintained their individuality and unique style as their recognition.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.958 | 0.964 |
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; the direct Gemma label and the distilled Codex classifier 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".