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Record W1968641244 · doi:10.1080/14650040802275511

Israeli Biopolitics: Closure, Territorialisation and Governmentality in the Occupied Palestinian Territories

2008· article· en· W1968641244 on OpenAlexafffund
Nigel Parsons, Mark B. Salter

Bibliographic record

VenueGeopolitics · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsUniversity of Ottawa
FundersBen-Gurion University of the NegevCairo UniversityAmerican University in CairoMassey UniversityUniversity of Ottawa
KeywordsBiopowerGovernmentalityClosure (psychology)SociologyState (computer science)PopulationPolitical economyPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

This paper argues for the inclusion of biopolitical practices of mobility regulation into study of Israeli control of the Occupied Palestinian Territories (OPT). State investment in bifurcated infrastructure, checkpoints, identity documents and a permit system underlines the centrality of closure to occupation. Through closure, Israeli agents of government aim beyond sovereign control of the Israeli-Palestinian border or narrowly conceived security for Israeli subjects. Differentiating, quantifying, documenting and disciplining, closure constitutes biopolitical control of the occupied Palestinian population. Palestinian agents are tasked with minor administrative responsibilities, but only within a framework of Israeli biopolitical control. Our analysis draws on empirical material from fieldwork in the West Bank and three case studies of Palestinian life in East Jerusalem. Findings point towards an Israeli “governmentality” of Palestinian mobility informed by incomplete territorialisation of the West Bank and demographic anxiety.

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)0.002
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.018
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0000.000
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 head0.049
GPT teacher head0.299
Teacher spread0.250 · 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

Citations113
Published2008
Admission routes2
Has abstractyes

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