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Record W6981812069

Financialization and War: Race, Class, Gender, Sexuality, and Subjectivity

2016· other· en· W6981812069 on OpenAlexaboutno aff

Bibliographic record

VenueSummit (Simon Fraser University) · 2016
Typeother
Languageen
FieldArts and Humanities
TopicAncient Egypt and Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionGestational periodTSG101PretextProteogenomicsCircumstantial evidenceContractualism
DOInot available

Abstract

fetched live from OpenAlex

In this talk, Maurizio Lazzarato will present an overview of the main themes of his upcoming book Wars and Capitalism, co-written with Eric Alliez. Building on both Carl Schmitt's argument that the economy is the continuation of war through other means and his previous work on debt economy, Lazzarato will interrogate the pivotal role of financial capitalism in indexing race, class, gender, sexuality and subjectivity to the logics of both military and non-military warfare.\n\nMaurizio Lazzarato is a sociologist and philosopher living and working in Paris, where he studies immaterial labor, the breakdown of the wage system, and “post-socialist” movements. He is the author, most recently, of The Making of the Indebted Man, Signs and Machines, and Governing by Debt.\n\nWITH RESPONSE BY:\n\nDavid McNally teaches political science at York University in Toronto and actively supports numerous social justice movements in that city. He is the author of six books, including Monsters of the Market: Zombies Vampires, and Global Capitalism (winner of the 2012 Deutscher Memorial Award) and Global Slump: The Economics and Politics of Crisis and Resistance (winner of the 2012 Paul Sweezy Award from the American Sociological Association).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.303
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0030.000

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 head0.214
Teacher spread0.194 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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