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Record W2100840142 · doi:10.1068/d402

From Arab Land to ‘Israel Lands’: The Legal Dispossession of the Palestinians Displaced by Israel in the Wake of 1948

2004· article· en· W2100840142 on OpenAlexfundno aff
Geremy Forman, Alexandre Kedar

Bibliographic record

VenueEnvironment and Planning D Society and Space · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
FundersLeukemia and Lymphoma Society of Canada
KeywordsKnessetExpropriationLegislationPolitical scienceJudaismLegislatureLawLegislative processGovernment (linguistics)Land of IsraelLand usePublic administrationGeographyPoliticsArchaeology

Abstract

fetched live from OpenAlex

In this paper we examine the Israeli government's use of law to institutionalize the dispossession of Palestinian Arabs displaced by the 1948 war and trace the legal transformation of their land during the formative years of Israel's land regime (1948–60). This legal transformation facilitated the expropriation and reallocation of formerly Arab land to primarily Jewish hands and was therefore a central component of the legal reordering of space within Israel after 1948. Based on close examination of Israeli legislation, archival documents, Knesset proceedings, and other sources we delineate a 12-year legislative process consisting of four phases, each concluding with the enactment of major legislation. The process was led by senior and second-tier Israeli officials, and the result was the construction of a new Israeli legal geography. The culmination of the process was the integration of appropriated Arab land into the country's new system of Jewish-Israeli ‘national land’ known as ‘Israel Lands’.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.011
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
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 head0.012
GPT teacher head0.244
Teacher spread0.232 · 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 designQualitative
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

Citations141
Published2004
Admission routes1
Has abstractyes

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