Israel, 1948 and Memoricide: The 1948 Al-‘Araqib/Negev Massacre and its Legacy
Bibliographic record
Abstract
In September 1948 fourteen young and middle-aged Palestinian Bedouin men from the Naqab (Negev), most tending to fields and livestock, were rounded up on a Zionist army vehicle and driven to the abandoned home of refugee ‘Odeh al-Qawasmeh in al-‘Araqib and summarily executed. More recently, on 27 July 2010, the entire village of al-‘Araqib was demolished by Israeli security forces in what locals have termed ‘the new Nakba’. This article attempts to construct an ‘authentic history' around al-‘Araqib by linking the ‘cleansing’ operations in 1948 and those in 2010, by weaving together native accounts and silences in the historical record. It challenges contemporary historiography's tendency to discount native testimony and to banalise violence in this case of ‘ongoing colonialism’. By drawing in the example of the political persecution of a local activist attempting to construct such an authentic history, the article draws attention to the various currents that aim at effecting a memoricide of al-‘Araqib.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| 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".