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Record W2755819879

Who’s Police? Examining the Palestinian Security Services’ role in Palestinian society and the peace process

2017· article· en· W2755819879 on OpenAlexvenueno aff
Xavier Leger Guest

Bibliographic record

VenueJournal of military and strategic studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSovereigntyIndependence (probability theory)Political scienceState (computer science)PoliticsSecurity sector reformTerritorial integrityPolitical economyInternal securityProcess (computing)Security forcesNational securityPublic administrationState securityLawSociology
DOInot available

Abstract

fetched live from OpenAlex

The Palestinian aspiration for independence appeared to take a decisive step forward with the creation of a police and security force following the signing of the Oslo Accords. The Palestinian Authority’s Security Forces’ (PASF) role in Palestinian society over two decades has evolved along major political shifts, to both the benefit and detriment of the Palestinian people. The police and security forces represent both corrupt “Israeli subcontractors” to the occupation as well as a valued national security establishment, and a precondition for a two-state solution. The arrangement underlies a fundamental flaw; that of conducting a security sector reform in the absence of sovereign authority and local ownership of the reform processes, and under military occupation. This paper addresses the role played by the Palestinian security apparatus in Palestinian society from 1993 to today, and its function regarding the peace process, ultimately finding that the partisan nature of the PASF and its subjection to outside interests weakens the advancement of Palestinian statehood.

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)0.003
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 score0.046
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.008
Scholarly communication0.0060.006
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.056
GPT teacher head0.328
Teacher spread0.272 · 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
Published2017
Admission routes1
Has abstractyes

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