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Record W3017273664 · doi:10.64903/1480-6800.22.3.186

Deconstruction and Reconstruction: The Case of the Naqab's Tribal Courts in the Shadow of the Israeli Military Government

2019· article· en· W3017273664 on OpenAlexvenueno aff
Kassim Alsraiha

Bibliographic record

VenueArab world geographer · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDeconstruction (building)Shadow (psychology)Government (linguistics)Political scienceLawSociologyPsychologyPhilosophyPsychoanalysisEngineering

Abstract

fetched live from OpenAlex

With the establishment of Israel in 1948, military government was imposed on regions inhabited by the Palestinian-Arab majority, including the Palestinian Arab-Bedouin tribes of the Naqab (Negev). The justification was that the Arab population who remained in Palestine, and became citizenry of the newly established state, perceived to pose a threat to Israel's security. The article examines the establishment and dissolution of the tribal courts in the Naqab during the military government period by means of a critical analysis of official archival documents and newspaper reports published at the time. These sources reveal the power structure and the security considerations for the establishment of the tribal courts in the Naqab. Additionally, the article shows how the case of the tribal courts sheds light on patterns of action employed by the military government and the Israeli political system from 1948 to 1966, and the policies implemented towards the Arab-Bedouin population in the Naqab.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0280.052
Scholarly communication0.0130.006
Open science0.0020.005
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.234
Teacher spread0.225 · 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 designQualitative
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
Published2019
Admission routes1
Has abstractyes

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