Bibliographic record
Abstract
Ninety-eight percent of the Palestinian Arabs living in Haifa, Palestine—approximately 79 000 citizens—were displaced from their homes and properties and forced into exile during the civil war period of the 1948 Palestine war. In contrast to other accounts of events in Haifa, this paper shows that Palestinian Arab leaders did not support the Palestinian Arabs'spontaneous, violent response to the UN partition vote, nor did they order the Haifa Arabs to leave. Rather, three mutually supportive factors precipitated the exodus. Those were (1) Zionist indiscriminate terror and offensive operations; (2) the Zionist forces' climactic, lethal offensive of 21 to 23 April 1948; and (3) the panicked Arab mass evacuation, which British forces supervised after the Zionist offensive of April. This paper discusses factors precipitating the battle of Haifa and sheds light on the historical controversy over alleged British-Zionist collusion in the takeover of the city. The unfolding of the exodus is examined, as is the role played by the Haifa Arab leadership in the evacuation. The relatively minor importance of the city's truce negotiations on the causes of the exodus are also discussed. Finally, it elucidates the role of the British policy of non-intervention in intercommunal fighting that enabled superior Zionist forces to seize and depopulate most of Arab Haifa.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".