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Record W4404521847 · doi:10.1080/19436149.2024.2426341

American Colony in Jerusalem: Rebuilding the Eight Palestinian Villages Buried by USA Independence Park

2024· article· en· W4404521847 on OpenAlexaff
Ghada S. Sasa

Bibliographic record

VenueMiddle East Critique · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsIndependence (probability theory)Political scienceGeographyAncient historyHistory

Abstract

fetched live from OpenAlex

In 1976, Israel physically planted USA Independence Park over the ruins of eight Palestinian villages it depopulated during the Nakba, which are located near Jerusalem. The creation of this ‘protected area’ over ‘Allar, Bayt ‘Itab, Dar al-Sheikh, Dayr Aban, Dayr al-Hawa, Jrash, Khirbat al-Tannur, and Sufla was sponsored by US taxpayers. This article critically analyzes Israel’s design of this park as a device to seize Palestinian land, bar the original inhabitants from returning, purge their memories, and greenwash its settler colonial undertaking. Zionism and Western environmentalism are featured as the ideological underpinnings of Israeli green colonialism. Subsequently, this research unearths the history of the eight villages Israel desperately attempted to bury, comprising the Arabic names of central landmarks, and reaffirms the claims of the Indigenous inhabitants to their stolen lands. By translating and transcribing interviews with Nakba survivors, the article not only salvages Palestinian memory, but also maps the return of refugees. Its aim is to serve as an anticolonial archive, while sketching the pre-1948 lifeways, wisdoms, and values of these villagers to galvanize readers into action oriented towards universal justice.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.796
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.313
Teacher spread0.279 · 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.

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
Published2024
Admission routes1
Has abstractyes

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