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Record W4392608410 · doi:10.33137/ijournal.v9i1.42235

Stolen Pieces of Palestine

2023· article· en· W4392608410 on OpenAlexvenueno aff
Connor White

Bibliographic record

VenueThe iJournal Student Journal of the Faculty of Information · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicArchaeology and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPalestineAncient historyArtHistory

Abstract

fetched live from OpenAlex

The Israeli-Palestinian conflict has led to the displacement of thousands of Palestinians from their homes, leaving behind furniture, books, documents, and other items relating to their cultural heritage. These items were captured by the invading Israeli forces and sealed away in their archives and libraries, where they remain to this day. Since this first phase of pillaging in 1948, Israel has continued to sequester away pieces of Palestinian cultural heritage which they collected during the Six-Day War and its repeated invasions into the Gaza Strip. This article examines the ways in which these items, particularly records and books, were seized by Israel and integrated into its archival infrastructure. Through acquisition, arrangement, description, and access, Israel and its archivists hold the power to create, transform, or destroy what remains of Palestine’s documentary heritage.

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)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.029
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0070.006
Scholarly communication0.0080.004
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0290.005

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 head0.040
GPT teacher head0.278
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 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
GenreOther

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 routes1
Has abstractyes

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