Ahmad Shawqi and Educational Poetic Stories on the Tongues of the Animals
Bibliographic record
Abstract
<p>Ahmad Shawqi, the most famous Egyptian poet, used the animal world to narrate children stories. He began using this genre as a student in France to express his moral, national, and social desires and to awaken his fellow countrymen’s outrage against colonialism and its machinations. He narrated fifty-six tales, the first of which, entitled “Al-Deek Al-Hindi wa Al-Dajaj Al-Baladi” (The Indian Rooster and the Local Chicken), was published in the newspaper Al-Ahram in 1892. Shawqi’s tales were often written in the form of odes, following the rajaz rhythm, and using variable rhymes. They are easy to read, short, often educational, and can be easily memorized. Shawqi used the Holy Quran, books of proverbs, and Arabic wise sayings as his primary influences. Indeed, Shawqi’s tales are definitely Islamic in nature and tone.</p>
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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; a candidate call from one teacher head, 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".