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Record W2942871865 · doi:10.1080/00263206.2019.1605596

The destruction of old Jaffa in 1936 and the question of the Arab refugees

2019· article· en· W2942871865 on OpenAlexaboutno aff
Tamir Goren

Bibliographic record

VenueMiddle Eastern Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeMandateQuarter (Canadian coin)Government (linguistics)Palestinian refugeesPolitical sciencePopulationLawPublic administrationSociologyHistoryDemography

Abstract

fetched live from OpenAlex

One outcome of the Jewish–Arab conflict at the time of the British Mandate was the Arab refugee problem. It usually accompanied any escalation in hostilities and was evident at foci of the friction between Arabs and Jews. Reprisals by the authorities against the Arab population was an additional cause. At the time of the Arab Revolt the refugee issue assumed for the first time significant proportions as a result of destructive actions by the British army, the greatest being the home demolition operations unleashed in Jaffa. As a result many families became refugees inside and outside their city. For the first time in the Mandate period the British government was obliged to contend with the problem of Arab refugees that it itself had created, and resolve it. The article aims to shed light on a unique operation by the Mandatory government intended to establish a locality to house Arab refugees, which was implemented and completed in the Mandate period. The article shows that for the authorities the establishment of a quarter for refugees was the required and most appropriate solution to the problem that had arisen.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score0.194

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0180.011
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.027
GPT teacher head0.301
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2019
Admission routes1
Has abstractyes

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