The 1948 turmoil in Sanaa from the viewpoint of two Yemeni Jewish sources
Bibliographic record
Abstract
This article introduces two Jewish accounts on the 1948 turmoil in Sanaa/Yemen to a non-Hebrew reading audience. Following the problematisation of both accounts – one by Salim Mansura (1916–2007), the other by Mordechai al-Zahiri (later Yitshari, 1930–) – as a historical source, it gives a chronological overview of the events they describe, and partly witnessed themselves. It covers their narratives on the assassination of Imam Yahya Hamid al-Din, the al-Wazir coup, the countercoup led by Imam Ahmad as well as the subsequent looting of Sanaa and its Jewish quarter. Based on the two accounts, the article analyses whether the looting had a strategic function in reconquering the city and reflects on the question as to whether the looting of the Jewish Quarter in particular was or was not intended by the authorities.
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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 | 0.002 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".