Bibliographic record
Abstract
This research seeks to shed light on the image of Jerusalem and its people in Emile Habibi’s novel Sextet of theSix Days. It also presents the impact of 1948 and 1967 on the Palestinian exodus known as Nakba and Naksa, onJerusalem’s population, its quarters and stones. The novelist narrates the shapeless return of a nation unitedunder Occupation tanks and spears. The novel handles the humanitarian and social rupture of the Palestinians ingeneral and the people of Jerusalem in the wake of defeat. It, furthermore, depicts the gathering of thePalestinian Diaspora in Palestine after the June War. The researcher aims to explain how the population ofJerusalem, Muslims, and Christians resisted the Occupation. It was their love, harmony and brotherhood thatunited them, along with the collaboration of Palestinians under the umbrella of both the Cross and Crescent. Inthe novel, the researcher has presented the close relationship between Jerusalem, the place, and the populationwho deceived strange policemen when they went through Alsadiya Quarter to Alzahira Gate until they enteredthe graveyard and covered the tombs with flowers. The researcher saw that Emile Habibi has chosen a number ofcharacters that represented the Palestinian sects, classes and successive Palestinian generations, some of whomlived in the British occupation era, another in the Nakba era (the 1948 war) and the other lived in both eras, theNakba and Naksa. Thus, through these characters, Emile Habibi is trying to present his vision of how the dealwith the Occupation. Besides, the researchers found that the women of Jerusalem are strongly present in thenovel. They can be viewed as courageous, patient and tough. They also have a great influence on rallying andpreparing fighters. Women can do many things for the sake of their homeland: they wash the prisoners’ clothes,they serve their husband, and they also hard stones at the enemies. The novel Sextet of the Six Days isremarkably teeming with the places of Jerusalem.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".