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Record W7023517293

PALESTINIAN REFUGEES: Dethroning the Nation at the Crowing of the 'Statelet'

2006· article· en· W7023517293 on OpenAlexfundno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
FundersUniversity of CambridgeInternational Development Research Centre
KeywordsRefugeePalestinian refugeesState (computer science)PopulationDecolonizationWorld War IIHuman rightsJewish state
DOInot available

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.086
GPT teacher head0.323
Teacher spread0.237 · 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 teacher head, not a consensus.

Study designObservational
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

Citations0
Published2006
Admission routes1
Has abstractyes

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