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Record W4404460190 · doi:10.35295/osls.iisl/1901

A case study of judicial resistance in northern Syria after the March revolution of 2011

2024· article· en· W4404460190 on OpenAlexafffund
Monique C. Cardinal

Bibliographic record

VenueOñati Socio-legal Series · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East Politics and Society
Canadian institutionsUniversité Laval
FundersSocial Sciences and Humanities Research Council of CanadaUniversité Laval
KeywordsResistance (ecology)Political scienceLawHistoryAncient historyBiology

Abstract

fetched live from OpenAlex

Judges and prosecutors challenged oppressive laws introduced by the regime of Bashar al-Asad to curb the popular uprising of March 2011 in Syria. When some members of the judiciary became targets of the regime’s security forces, they resigned from office and formed independent councils to administer justice in regions no longer under state control. This article focuses on the first independent council in northern Syria: the Free Syrian Judicial Council (FSJC). Unlike the majority of non-state courts and councils established by groups of armed resistance in Syria, the FSJC does not belong to the category of “insurgent/rebel justice”. Rather, members of the FSJC were engaged in a form of resistance called “judicial resistance”: the capacity of judicial officers to challenge oppressive laws in their decision-making. The article argues that even after they left office, judges and prosecutors of the FSJC were still engaged in judicial resistance: they did their best to uphold the rule of law and provide services to the population despite the breakdown of public order and the fragmentation of the non-state judicial system engendered by the armed conflict.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.381
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.290
Teacher spread0.270 · 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.

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

Citations5
Published2024
Admission routes2
Has abstractyes

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