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Record W2949123560 · doi:10.1177/2057047319853323

Islamic State in Iraq and Syria’s standardized media and jihadist nation-state building efforts

2019· article· en· W2949123560 on OpenAlexaff
Ahmed Al‐Rawi

Bibliographic record

VenueCommunication and the Public · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsIslamDistrustState (computer science)LegitimacyTerrorismPolitical scienceState-buildingLawShariaMedia studiesSociologyPoliticsHistory

Abstract

fetched live from OpenAlex

In its efforts to establish order and legitimacy among the people it once controlled, Islamic State in Iraq and Syria followed standardized and systematic nation-state building policies. The terrorist group attempted to establish an imagined jihadist nation-state with the assistance of standardized media productions and practices. These media productions that are examined in this article reflect Islamic State in Iraq and Syria’s unified vision of the ultra-conservative society that it once intended to form in its different territories. I argue here that Islamic State in Iraq and Syria used standardized media productions to promote strict sharia laws including emphasis on men and women’s garments, distrust in secular rule, and calls for jihad in the different cities that it controlled. For Islamic State in Iraq and Syria, media is jihad and journalists are Mujahideen whose main purpose is to mobilize the masses and assist in creating a jihadist nation-state.

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)0.004
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 score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.009
Scholarly communication0.0060.002
Open science0.0000.003
Research integrity0.0010.002
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 head0.018
GPT teacher head0.290
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

Citations6
Published2019
Admission routes1
Has abstractyes

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