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Record W3023683248 · doi:10.5038/1911-9933.14.1.1738

Chomsky and Genocide

2020· article· en· W3023683248 on OpenAlexaffvenue
Adam Jones

Bibliographic record

VenueGenocide Studies and Prevention · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsGenocideThe HolocaustPoliticsHumanismSociologyLawPolitical science

Abstract

fetched live from OpenAlex

Noam Chomsky may justly be considered the most important public intellectual alive, and the most significant of the post-World War Two era. Despite his scholarly contributions to linguistics, at least three generations know him primarily for his political writings and activism, voicing a left-radical, humanist critique of US foreign policy and other subjects. Given that a human-rights discourse is prominent in Chomsky’s political writing, and given that genocide-related controversies have sometimes swirled around him, it is worthwhile to consider the overall place and framing of genocide in his published output. The present paper undertakes such an inquiry. It employs a broad and systematic sampling of Chomsky's published work (including online sources and interviews) to explore: - How Chomsky understands the concept "genocide," and how this has evolved over the years; - His skepticism towards the term and and criticisms of its political manipulation; - Past genocide-related controversies involving Chomsky (the Holocaust, Cambodia, Bosnia/Kosovo, Rwanda); - Cases of mass violence that Chomsky considers genocides, "near" or "virtual" genocides, and propagandistic non-genocides; - The place of the Holocaust and Israel in Chomsky's analysis; and - Structural forms of genocide, especially those linked to contemporary capitalism and neoliberalism. The attempt is to provide a critical and wide-ranging evaluation of a leading public intellectual's writing and commentary on genocide over the past half-century.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.655
Threshold uncertainty score0.484

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 studies0.0010.000
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 head0.093
GPT teacher head0.376
Teacher spread0.282 · 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 designOther design
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
Published2020
Admission routes2
Has abstractyes

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