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Record W2603973861 · doi:10.1075/bct.3.03gra

The language of neofeudal corporatism and the war on Iraq

2007· book-chapter· en· W2603973861 on OpenAlexaff
Philip Graham, Allan Luke

Bibliographic record

VenueBenjamins current topics · 2007
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsGeopoliticsCorporatismPostmodernismPoliticsGlobalizationCapitalismPolitical sciencePolitical economyVocabularySociologyEconomic historyLinguisticsHistoryLawEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Beginning from recent critical work on globalisation, many critical scholars have extended the analytic vocabulary of ‘advanced’, ‘fast’ and ‘postmodern’ capitalism to explain the geopolitics of the Iraq War. This article offers a counterclaim: that current geopolitical economy can be more usefully characterised as a form of neofeudal corporatism. Using examples drawn from a 300,000 word corpus of public utterances by three political leaders — George W. Bush, Tony Blair, and John Howard — we identify and explicate defining characteristics of this system and how they are manifest in political language about the invasion of Iraq.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.021
Scholarly communication0.0040.003
Open science0.0010.002
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 head0.051
GPT teacher head0.329
Teacher spread0.278 · 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 designNot applicable
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
Published2007
Admission routes1
Has abstractyes

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