Bibliographic record
Abstract
When Hazrat Muhammad (ﷺ) was asked to relate his views about poetry. He (P.B.U.H) replied: هُوَ کَلَامٌ فَحَسَنُهٗ حَسَنٌ وَقَبِیْحُهُ قَبِیْحٌ[i] Poetry is a speech, and if it's excellent, it's correct. If poetry is awful, it is incorrect (prohibited)''. It becomes illuminatingly clear that poetry is the best means to unveil and Express emotions. Love for Hazrat Muhammad (ﷺ) is the embodiment of unshakeable belief in Islam. The Muslim poets have transformed deep love and reverence for Hazrat Muhammad (ﷺ) into poetic form. Hafiz Mazhar-Ul-Din Mazhar’s poetry marks a distinguished status in this regard. He is one of the most celebrated Poets of 20th century. Mazhar-Ul-Din’s works consist both of prose and poetry. The captivating use of the genres of poetry in his exceedingly exotic quality. He portrayed and beautifully delineated Hazrat Muhammad’s (ﷺ) life and his personality in his poetry. Abundant use of (تلمیح) has been noted in the works of poets. Hafiz Sahab has also employed talmih (تلمیح) repeatedly in his works. The research-oriented critique of (تلمیحات) regarding Mazhar’s poetry has been presented in the subject under consideration..
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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 | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.985 | 0.985 |
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".