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Record W4387023265 · doi:10.1080/13537113.2023.2254040

Silenced Heritage: Israel’s Heritage Plan Vis-à-Vis Non-Jewish History

2023· article· en· W4387023265 on OpenAlexafffund
Rudy Kisler

Bibliographic record

VenueNationalism and Ethnic Politics · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsMcGill University
FundersFonds de Recherche du Québec-Société et Culture
KeywordsSupreme courtLawCultural heritageContext (archaeology)JudaismSociologyHistoryPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

Cultural heritage (e.g., historic buildings, memorials and museums) has been used to construct and negotiate various identities and meanings in the present, specifically in the context of nation-states. In transforming the past into heritage, however, States may disregard other histories—ones which deviate from the historical narratives they promote. In this paper, I discuss the case of the Heritage Plan, Israel’s official cultural heritage policy. Specifically, by using the discursive approach, I expose and assess cases of silencing competing histories which would challenge the history promoted by the Heritage Plan. My findings suggest that, in addition to privileging Jewish heritage, the Heritage Plan is used as a mechanism for erasing competing, non-Jewish histories. This article presents three case-studies of silencing: the first investigates the Druze heritage center; the second inquires into Israeli heritage practices in the West Bank; the third examines the Castel national heritage site associated with the 1948 war. The analysis of these cases reveals how the Heritage Plan is guided by ethnic and religious factors, whereby heritage assets are not necessarily promoted according to their full historical value, but are instead used to sustain current power structures.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.773
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.148
GPT teacher head0.280
Teacher spread0.132 · 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 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

Citations0
Published2023
Admission routes2
Has abstractyes

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