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Record W2039769093 · doi:10.1080/13698010600781040

PALESTINIAN REFUGEES

2006· article· en· W2039769093 on OpenAlexaff
Randa Farah

Bibliographic record

VenueInterventions · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsRefugeePalestinian refugeesState (computer science)PoliticsPolitical sciencePopulationConflict resolutionLawRefugee lawPolitical economySociologyDemography

Abstract

fetched live from OpenAlex

The Oslo agreements proposed a two-state solution for the Palestinian-Israeli conflict: a Palestinian state on the West Bank and Gaza existing alongside Israel. However, the refugees’ right of return and claims to land and property expropriated by Israel during the 1948 were removed from the equation, although they represent the core issues in the conflict. Based on the territorial divisions that preceded the 1967 war, or the ‘green line’, the agreements implicitly rendered the 1948 war and its consequences for the majority of the Palestinian population a non-negotiable historical reality. In a manner of speaking, the crowning of the ‘state’ (PA) dethroned the nation. In this paper, I review these processes in which refugees have been dismissed, and relegated as relics of an unredeemable past and not as subjects of history in the past-present and whose participation is fundamental in seeking a resolution to the conflict. Based on anthropological research in the region, I argue that, despite the passage of time, refugees continue to hold on to their rights and dream of return, albeit reshaped by the contingencies of exile. I conclude by suggesting that the Israeli state and society must take political, legal and practical responsibility for the refugee problem. This implies that the right of return, decolonization and de-Zionization are inseparable processes.

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 score0.008
Threshold uncertainty score0.027

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 studies0.0050.004
Scholarly communication0.0020.001
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.049
GPT teacher head0.363
Teacher spread0.315 · 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

Citations10
Published2006
Admission routes1
Has abstractyes

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