A Tragic Romance: An Analysis of Ibn Zuraiq Al Baghdadi: A Passenger of Time
Bibliographic record
Abstract
In Ibn Zuraiq Al Baghdadi: A Passenger of Time, the Bahraini novelist Ahmad Al Dosari depicts the life of the Abbasid poet Ibn Zuraiq Al Baghdadi. The novel introduces the miserable life of the hero who suffers poverty and deprivation early in his life. It also depicts the love story which joins Ibn Zuraiq (Ali) and his cousin Hind which is eventually doomed to failure. It is the purpose of this paper to study the novel as a prose romance by focusing on the depiction of characters and plot. The researcher highlights how romance deploys characters who are discriminated as heroes and villains. She also studies the depiction of the protagonist as an isolated figure. In addition, the researcher studies howthe plot focuses on the hero’s adventures and his quest for happiness, as well as, its focus on non-realistic events. On the other hand, the paper investigates the novel’s protagonist as a modern tragic hero. He is portrayed as a common man, a victim of his own society who struggles to maintain his dignity and overcome the conspiracies of his surroundings.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.010 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".